AI Skill Pathways

Generative AI is reshaping industries by transforming how work gets done. This learning path puts you at the forefront of this creative revolution, covering content creation, key models, future trends, ethical considerations, and tools like Microsoft Copilot. Gain essential skills to harness generative AI in your career. Start today so you can lead in this transformative era.

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In this learning path, managers at all levels of the organization will learn practical ways to enhance their effectiveness with generative AI—from making team and one-on-one meetings more effective to giving feedback that gets results. You'll also learn how to have meaningful career conversations with employees in an AI context, build a collaborative team culture with generative AI, and use AI responsibly.

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In this learning path, you'll learn how to make informed decisions about AI adoption and application as an organizational leader. You'll evaluate the business implications of generative AI and learn how to integrate AI into business strategy, lead responsible AI, build organization-wide AI aptitude, and drive long-term business growth in the age of AI.

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Elevate your customer service game with generative AI. In this learning path, dive into the world of generative AI, Microsoft 365 Copilot, and AI-driven customer journey mapping. Learn to craft effective prompts, address customer issues with ease, and transform daily workflows to deliver exceptional service. Tune in, pass the exam, and earn your certificate.

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Equip yourself with the skills to thrive in the AI-driven future of sales. Discover how to harness AI-powered tools like Microsoft 365 Copilot to enhance sales strategies, generate leads, analyze data with precision, and create compelling presentations effortlessly. Stay at the forefront of innovation and elevate your sales performance with the power of AI. Tune in, pass the exam, and earn your certificate.

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Harness the power of generative AI to revolutionize your marketing strategy and stay ahead. In this learning path, you’ll master the art of generative AI prompt writing and leverage Microsoft 365 Copilot to create compelling presentations, analyze data efficiently, and supercharge your marketing campaigns. Tune in, pass the exam, and earn your certificate.

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Boost your generative AI productivity with Microsoft and LinkedIn. From this learning path, learn the art of prompt engineering and find out how AI can automate tasks and enhance creativity. Discover how to use tools like Copilot, ChatGPT, and DALL·E to craft effective prompts, make presentations, and perform data analyses. Gain the skills needed to make smarter decisions, collaborate better, and excel in the evolving AI landscape. Start your transformation today!

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Copilot in Microsoft 365 can help you work smarter, faster, and more efficiently with the tools you use every day. In this learning path, you'll discover how to leverage Copilot across the most-used tools in the Microsoft 365 suite: Word, Excel, Outlook, PowerPoint, and Teams. Learn how to streamline workflows, create and refine documents and presentations, master the art of prompt writing, and increase collaboration with AI-powered tools.

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This certification validates your knowledge and skills in AI and machine learning within the Oracle Cloud Infrastructure environment.

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This certificate provides an in-depth technical introduction to large language models (LLMs) and practical exercises for building and deploying a conversational chatbot using Oracle Cloud Infrastructure Generative AI

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This learning path is for developers looking to leverage the cutting-edge Google Gemini AI models.

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In today’s fast-changing tech landscape, understanding AI is essential for professionals in any industry. This structured learning path empowers you to integrate AI into your work, boosting productivity and innovation. Learn how to identify where AI can assist, streamline tasks, and enhance quality. Gain practical skills in crafting effective prompts, using AI tools, and collaborating with AI systems. Start your journey to transform how you work with AI.

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Discover the power of generative AI in web development with this hands-on learning path. Learn to boost efficiency and innovation through rapid code generation and AI integration. Build AI-powered chatbots with JavaScript, enhance React apps, and leverage AWS SageMaker for machine learning. Elevate your projects with practical examples and real-world challenges. This learning path enables you to start mastering AI in web development.

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Google tools continue to transform the work of machine learning engineers and developers. Embark on a transformative journey mastering AI with Google Gemini and Google Cloud Platform. Gain skills to deploy cutting-edge applications, use multimodal AI, optimize workflows, and master MLOps on GCP. For comprehensive GCP certification prep, check out the learning path: “Prepare for the Google Cloud Professional Machine Learning Engineer Certificate”.

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Prompt engineering is essential for effective communication with AI models. Every day, more and more professionals are working with language models, making prompt engineering a vital skill for the future of work. In this learning path, you'll learn how language models work, how to interact with them, and how to fine-tune your skills with advanced techniques. Unlock the gates to seamless interaction with large language models today.

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Large language models (LLMs) are the foundations of generative AI and why it has become so popular. Millions of learners interact with advanced natural language processing models on a daily basis, and it's more important than ever they understand how to leverage LLMs in their work. This learning path opens up the "black box" of AI, teaching learners how LLMs work, how they can start working with them today, and how to build AI-powered products.

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Unlock the potential of Retrieval-Augmented Generation (RAG) with this comprehensive learning path. Learn advanced techniques for optimizing text-based RAG through chunking, embedding, and metadata. Master integrating vector databases with large language models and gain hands-on skills in multimodal RAG. Design, implement, and evaluate cutting-edge RAG solutions to stay ahead in AI. You can start your journey to elevate your data-driven capabilities today.

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This learning path equips tech leaders with the latest generative AI trends, how they work, and how to apply them to your team, product, and organization. Explore fundamental concepts of AI and machine learning. Delve into specific areas like large language models. Plus, explore crucial aspects like ethical considerations, regulation and compliance, implementation strategies, and emerging trends such as multimodal models and AI agents.

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Learn how to use Microsoft Azure's tools and services to manage conversational AI workloads and prepare for the first domain of the Microsoft Azure AI Fundamentals (AI-900) certification exam.

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Unlock the power of Microsoft’s AI-driven features with this learning path on Microsoft Copilot. Enhance your efficiency across Microsoft 365 by automating Excel tasks, creating engaging PowerPoint presentations, boosting productivity in Teams, and managing email in Outlook. Master these tools to streamline workflows and stay ahead in the AI-driven workplace. Start today and transform your approach with Microsoft Copilot!

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Build foundational Azure skills in generative AI and predictive AI. Grasp core concepts and explore generative AI cloud services and use cases.

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The GitHub Foundations certification validates candidates on their ability to use GitHub for version control, collaboration, and workflow automation.

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Middle managers are key to responsible AI adoption and implementation on their teams. Learn the skills you need as a middle manager, including how to adopt a digital mindset, use AI to build a collaborative culture, make informed decisions about responsible AI use by your teams, and apply generative AI tools to common business challenges. After completing this learning path, advance your skills with Build AI Aptitude as a Senior Manager.

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Harness the power of ChatGPT and generative AI in your professional life with this transformative learning path. Demystify AI, overcome common misconceptions, and master advanced prompt engineering techniques. Learn how to streamline business processes, enhance data analysis, and deploy AI ethically. Gain the skills to drive innovation and boost your organization’s success. Start your AI journey today!

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Dive into AI-powered marketing with this comprehensive learning path for professionals. Learn how ChatGPT and generative AI tools can enhance content creation, optimize SEO strategies, and improve marketing outcomes. Gain skills in prompt creation, AI-driven customer segmentation, predictive analytics, and social media marketing. Start today to revolutionize your marketing campaigns with AI.

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Dive into the world of OpenAI APIs with this comprehensive learning path. Master tools like DALL·E for image generation, Whisper for speech-to-text and text-to-speech, and the Code Interpreter for efficient Python programming. Gain hands-on experience and practical skills to implement advanced AI features in your projects. Get started now to enhance your AI expertise and leverage OpenAI’s cutting-edge tools.

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With the launch of the OpenAI API, developers find themselves merging into the world of AI. Developers are now tasked with building AI-powered applications, and OpenAI is leading the race. This learning path provides hands-on courses for developers to dive right in and start building AI-powered apps today using the OpenAI platform. If you already feel comfortable with your dev skills, then jump right in and start building!

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Explore the transformative potential of AI agents at work. From understanding the fundamentals and ethical implications of agentic AI to practical applications in product development and leadership, this learning path will equip you with the knowledge and skills needed to implement AI agents effectively.

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Advance your machine learning expertise with this comprehensive learning path. Explore core and advanced topics, including predictive analytics, decision trees, causal inference, deep learning optimization, and the differences between machine learning and statistical methods. Through real-world examples and tools like KNIME Analytics Platform, gain practical skills to boost model transparency and effectiveness. Start now to elevate your skills.

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Ready to take your AI and machine learning skills to the next level? This comprehensive learning path equips you with the knowledge and tools to thrive in the field. Learn how to harness data, build and optimize models, and manage AI operations. Explore deep learning, reinforcement learning, and GANs. Gain the expertise to create impactful AI solutions and drive innovation. Start your journey to becoming an AI expert today.

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Explore the advanced world of deep learning and neural networks with this comprehensive learning path. Build and optimize deep neural models while leveraging cutting-edge AI technologies. Learn about generative adversarial networks (GANs) and deep convolutional generative adversarial networks (DCGANs). Gain hands-on experience with tools like GitHub Codespaces and Google Colab. Start today to deepen your expertise and accelerate your professional growth.

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Unlock the potential of natural language processing (NLP) with this comprehensive learning path. Gain hands-on experience with spaCy for rule-based AI, work with recurrent neural networks (RNNs) using TensorFlow, and build applications with transformers. Each course is designed to deepen your understanding and practical skills in NLP. Start now to elevate your AI expertise and stay ahead in this rapidly evolving field.

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Technical professionals in healthcare need to be equipped with AI and machine learning capabilities. These courses start with fundamental ML concepts and progress to hands-on data science applications, advanced NLP techniques for clinical data, and cutting-edge developments in generative AI within healthcare contexts. With these courses, bridge the gap between theoretical AI knowledge and practical healthcare applications to drive innovation.

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AI is rapidly evolving, and tech leaders need to keep up with the pace of innovation to inform and influence their teams and organizations in this pivotal moment. Explore important AI verticals that are vital to tech leaders, including a high-level technical overview, the impacts on business and culture, responsible AI, data, security, and governance. Take the next step on your AI upskilling and keep ahead of the curve!

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The role of AI Engineer continues to gain popularity as developers transition into the transformative field of artificial intelligence. In this learning path, you'll gain the skills needed to succeed in this role. This series of courses cover the core concepts and practical skills needed before diving into hands-on training in deep learning, computer vision, and neural networks. Experience with coding in Python is required for this learning path.

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Unlock the potential of generative AI with this comprehensive learning path. Explore key topics—from core AI concepts to advanced techniques in generative models, prompt engineering, and AI coding agents. Develop practical skills using AI tools and Python for data generation. Build applications with LLMs and vector databases. Gain the expertise to innovate with AI and stay ahead in this fast-evolving field. Start your journey today and become a proficient AI developer.

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Become an AI security expert in the evolving field of cybersecurity. This learning path provides insights into leveraging AI for complex problems, building resilient systems, integrating AI into GRC, and securing generative AI. Develop skills to navigate the convergence of AI and cybersecurity, mitigate risks, and fortify digital resilience.
 

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Delve into the world of machine learning with Python. This extensive learning path covers everything from the basics to advanced algorithms, offering both theoretical knowledge and practical experience. Whether you're new to the field or a seasoned pro, this journey will equip you with the skills needed to succeed in real-world applications.

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Unlock the full potential of SPSS with this comprehensive learning path. Master regression analysis, predictive analytics, classification, decision trees, machine learning, and unsupervised learning. Learn to choose the right algorithms, uncover hidden patterns, and apply advanced techniques through practical examples. Start your journey to becoming a data analysis and machine learning expert today.

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Unlock the power of AI in the world of data engineering with this comprehensive learning path. This course series is designed for data professionals who want to harness the transformative potential of artificial intelligence in their work. Whether you're looking to enhance your current role or pivot into AI-driven data engineering, this learning path equips you with the knowledge and skills to thrive in the evolving landscape of data and AI.

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Understanding key mathematical concepts is essential for implementing machine learning algorithms effectively. Delve into core concepts from linear algebra to calculus, probability, and statistics. Whether you're a beginner or an experienced practitioner, this learning path equips you with vital skills to tackle complex ML projects confidently.

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In a rapidly expanding industry, machine learning engineers hold a vital role in designing and creating AI algorithms to build machine learning solutions. In this learning path, you'll explore the basics of AI and machine learning and then move into a hands-on approach by building machine learning applications and training your own neural networks. An existing knowledge of Python is recommended.

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Dive into the dynamic field of AI and machine learning with this comprehensive learning path. Gain essential insights into image processing, reinforcement learning, and neural networks while mastering tools like Python, OpenCV, PyTorch, and Keras. Implement powerful algorithms, construct efficient machine learning models, and apply innovative technologies across various sectors. Start upskilling today to become an adept machine learning engineer or data scientist.

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ChatGPT has revolutionized productivity, and now everyday users can create their own custom version of ChatGPT—no coding required! Use custom GPTs to streamline daily tasks, for your company's internal use, or by publishing them to the GPT marketplace. In this learning path, learn the principles for building different types of GPTs, how to integrate your own data to train your GPTs, and how to publish and manage your GPTs on the GPT store.

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Artificial intelligence is expanding programmers' capabilities rapidly, enabling you to create applications based on prompts or to use prompts to improve your programming. This learning path shows you prompting approaches, helps you work with machine learning, demonstrates how to create code through AI, and connects you to larger AI systems through APIs.

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The expansion of AI highlights the need to build and deploy AI systems and products responsibly. This means pulling in cross-functional teams earlier and more often, knowing frameworks for building responsible products, and understanding algorithmic auditing to mitigate bias. This learning path provides practical information about responsible AI, governance, and algorithmic auditing to build AI products as responsibly and equitably as possible.

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Explore the power of hyperpersonalized learning with AI-driven solutions tailored to individual needs and capabilities. This learning path covers how to use generative AI to transform learning, streamline workflow, and boost organizational efficiency. Dive into key concepts like intelligent automation, AI aptitude, and responsible AI, designed for leaders and professionals. Start mastering AI-based solutions today to create a more personalized and inclusive learning environment.

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Generative AI is revolutionizing the recruiting landscape. This certificate program equips HR professionals with cutting-edge skills in AI-driven talent acquisition. Explore DEI considerations and principles of responsible AI management. Learn how to leverage AI technologies ethically and effectively to transform your recruiting processes and stay ahead in the industry. Tune in, pass the final exam, and earn your certificate.

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LinkedIn Recruiter is a powerful tool for talent acquisition professionals. This learning path teaches you how to leverage LinkedIn Recruiter to find and engage high-quality candidates efficiently. You'll master advanced search techniques, candidate engagement strategies, and best practices for utilizing the vast professional network on LinkedIn. Tune in, pass the final exam, and earn your certificate.

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Dive into the foundations of machine learning (ML) with this comprehensive curriculum. Gain a deep understanding of AI and ML principles, enhancing your ability to design and implement advanced algorithms.

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This learning path will help you develop the skills to create a search and recommendation web app powered by a vector database.

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Explore how AI is transforming marketing with this comprehensive learning path. Learn key AI concepts and tools to enhance your strategies and operations. Gain insights into machine learning, predictive AI, and generative AI, and develop skills for lead generation, content creation, and strategic implementation. Complete these courses to stay ahead in AI-driven marketing innovation. Start today to revolutionize your approach!

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Artificial intelligence (AI) is transforming the field of project management. Project managers who embrace AI will be well-positioned to excel in their work and remain competitive in today’s job market. In this learning path, discover how to leverage AI tools to streamline workflows, gain useful insights, and increase efficiency.

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Dive into generative AI and revolutionize your sales and service strategies. This practical learning path helps you leverage AI tools to streamline workflows, enhance customer interactions, and boost sales success. Learn key principles, advanced techniques, and ethical considerations. Plus, explore practical applications through case studies. Start mastering AI integration in your work and achieve outstanding results.

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Unlock the power of generative AI with this learning path. This course series helps UX professionals automate tasks, enhance decision-making, and streamline the design process. Learn to use tools like Midjourney, DALL·E 2, and Jasper AI for research, usability, accessibility, and visual design. Master AI to build smarter, more efficient user experiences. Start today and transform your UX workflow.

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Explore how generative AI is transforming industries and the future of work with this learning path. Gain insights and strategies to leverage AI—from automating tasks to generating complex content. Learn how to craft effective prompts, use tools like ChatGPT, and strengthen communication and critical thinking skills. Start your AI journey today and drive innovation in your career.

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Explore how generative AI can transform creative work with this comprehensive learning path. Learn how to craft effective prompts, use tools like Stable Diffusion and Adobe Firefly, and how to integrate AI into design and marketing workflows. Master image and vector generation, automate tasks in Adobe Creative Cloud, and navigate the ethics of AI in creativity. Start now so you can boost your productivity and creative potential.

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This learning path delves into building AI aptitude in your organization while considering generative AI, responsible AI leadership, digital mindset cultivation, and real-world problem-solving. Led by experts, you'll leverage AI effectively while upholding ethical practices, ensuring you are able to upskill your organization for growth and sustainable business success.

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Generative AI (GenAI) is transforming HR and fast becoming a resource that can help us achieve our hiring goals more quickly and more effectively. This learning path will help you make the most of emerging GenAI technologies by delving into the basics of AI in HR, its specific applications for talent acquisition professionals, and strategies to hit the ground running. Stay ahead in AI with this curated learning journey, led by industry leaders.

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Managers at all levels must understand AI and its implications and know how to leverage AI tools in the workplace. Learn the skills you need to succeed as a new manager, including how to adopt a digital mindset, contextualize the impact of AI, discuss the principles of responsible AI, and boost productivity with generative AI tools. After completing this learning path, advance your skills with Build AI Aptitude as a Middle Manager.

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This comprehensive learning path for organizational leaders explores AI’s impact on decision-making, strategy, and workforce evolution. Gain tools to navigate AI challenges, drive innovation, and enhance performance. Learn strategies for AI adoption, fostering human-machine collaboration, and building AI capabilities within your teams. Join industry experts to integrate AI responsibly into your business and stay ahead in the evolving landscape.

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The ability to effectively understand and use AI tools is an essential management skill. After completing this learning path, aspiring managers will have the skills to discuss AI and generative AI; research, write, increase their productivity; and boost their critical thinking using AI tools. Follow this learning path with Build AI Aptitude as a New Manager.

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In the age of AI, adaptability is essential for success. This learning path equips learners with skills to develop an adaptable and growth-centered mindset, build resilience, navigate change, enhance flexible thinking, learn and upskill effectively, and cultivate mental agility. By completing these courses, participants will excel in AI-enhanced environments, adapting to change to drive personal and organizational success.

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This learning path empowers learners to integrate generative AI into communication, build confidence, improve interpersonal interactions, practice mindful dialogue, deliver compelling business presentations, and enhance business writing with AI.

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Integrate generative AI into the creative process, build innovation capabilities, make creative thinking a habit, and apply practical creativity.

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In the age of AI, strong critical thinking skills are essential. This learning path equips learners to integrate generative AI into critical thinking, enhance judgment, make sound decisions, solve problems innovatively, and improve their thinking. By completing these courses, learners will excel in AI-enhanced workplaces, using critical thinking to drive effective problem-solving and decision-making.

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In the age of AI, strong decision-making skills are crucial. This learning path equips learners to integrate generative AI into decision-making processes, recognize biases, make decisions under stress, and apply mindfulness techniques when making decisions. By completing these courses, participants will excel in AI-enhanced workplaces, driving informed and effective decisions.

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In the age of AI, emotional intelligence is crucial for meaningful connections and effective teamwork. This learning path equips learners with skills to build relationships, develop emotional awareness, communicate with empathy, establish trust, and increase social perceptiveness. By completing these courses, participants will excel in AI-enhanced workplaces, driving stronger connections and organizational success.

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Human resources is undergoing a significant transformation, with artificial intelligence (AI) playing a central role in driving this change. In this learning path, you'll dive into the influences of AI across HR functions like recruitment, talent acquisition, learning and development (L&D), and professional growth. Learn how AI is reshaping HR practices and how you can integrate AI technologies seamlessly into your existing responsibilities.

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Advance in your career by mastering personal branding and AI skills. In this comprehensive learning path, learn how to influence and persuade to enhance your professional presence. The courses cover strategic branding, leveraging AI tools for productivity, and adopting an AI-first mindset, providing you with the skills to stand out in the modern workplace. Start now to build your unique brand, improve your efficiency, and elevate your career!

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AI is transforming the workplace—from chatbots to analytics. This learning path explores key AI concepts and how they boost teams, products, and services. Covering machine learning, generative AI, ethics, and trends, it equips professionals to lead innovation. Discover how to harness AI’s power to grow your career and drive organizational success.

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Explore how AI is transforming fields like marketing and healthcare and find out how to unlock AI's potential to enhance your team, organization, and products. The courses in this learning path cover machine learning, predictive AI, generative AI, ethical considerations, and legal considerations. Learn how to leverage AI for creative processes, data analysis, and informed decision-making. Start your journey to becoming an AI-empowered creative leader today.

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Get the most out of GitHub Copilot X, one of the most useful and impactful new tools for streamlining software development with AI based on the most recent version of ChatGPT-4. Receive a comprehensive introduction on how to use Copilot to integrate your coding with the latest AI technology.

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Learn how to effectively build and deploy AI products in enterprise environments. You'll obtain the knowledge needed to lead successful enterprise AI product development, from conception to deployment. Tune in, pass the final exam, and earn your certificate.

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Develop essential skills to manage Azure AI resources, as well as design innovative AI solutions and adhere to responsible AI practices. This comprehensive course is designed to provide you with a solid understanding of Azure AI services and equip you with the skills needed to prepare for the AI-102 certification exam.

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Explore the fundamentals of machine learning and Al and related Microsoft Azure services. By certificate completion, you'll understand the essential building blocks of AI, generative AI, computer vision, natural language processing, responsible AI, and document intelligence, and you’ll explore the services available on Azure.

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Machine learning ops (MLOps) provides a foundation for managing and maintaining your machine learning applications, but you need to know some specialized details to use large language models (LLMs) effectively. These courses take you from key programming techniques for MLOps and LLMOps through the details of establishing LLM-based applications. You'll keep your projects running smoothly through development, to testing, and then to production.

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The GitHub Foundations certification validates candidates on their ability to use GitHub for version control, collaboration, and workflow automation. This comprehensive course helps you prepare to earn your certification. Get a thorough introduction to Git and GitHub. Learn how to work with GitHub repositories. Explore collaboration features, modern developments, and ways that GitHub can save you time and effort in managing projects. Delve into privacy, security, and administration. Plus, discover the benefits of the GitHub community.

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Generating code with AI tools seems like a dream for programmers, but using code generation effectively requires you to carefully match your needs with the capabilities and approaches of these tools. Learn how to match programming projects with the right tools, and explore how far these tools can go with challenging tasks like testing and refactoring.

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The AKYLADE AI Security Foundation (A/AISF) certification exam is designed to evaluate your ability to understand and apply essential artificial intelligence (AI) security concepts including but not limited to artificial intelligence concepts, AI risk management, AI risks and trustworthiness, and the essentials of the NIST Risk Management Framework. An ideal fit for cybersecurity, IT, risk management, and compliance professionals, this course equips you with the skills you need to tackle the official A/AISF exam.

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The AKYLADE AI Security Practitioner AIP-001 (A/AISP) certification) validates your expertise in managing AI risks to ensure system trustworthiness, and integrating security measures within organizational AI frameworks. This course helps you prepare for the certification, and covers the six domains of the exam: Ethics and Human-AI Interaction, Advanced AI Risk Management, AI System Integration and Security, NIST AI RMF, AI Risk Management Action Plan, and AI Incident Response and Management. This course was created by Dwayne Natwick and Captain Hyperscaler. We are pleased to host this training in our library.

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Earning the Google Cloud Professional Machine Learning Engineer certification confirms that you’re able to build, evaluate, productionize, and optimize AI solutions by using Google Cloud capabilities and knowledge of conventional ML approaches. In this course, Noah Gift prepares you for the certification, starting with an overview of the exam—including the format of the exam, the time it should take, and how and where you can take the exam. Noah then dives into the six sections of the exam, covering what you need to know about: architecting low-code ML solutions; collaborating within and across teams to manage data and models; scaling prototypes into ML models; serving and scaling models; automating and orchestrating ML pipelines; and monitoring ML solutions.

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Supply chain professionals must adapt to the AI revolution transforming their industry. This certificate program teaches you how to leverage generative AI technologies in supply chain operations, from foundational concepts to practical applications and strategic implementation.

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These hands-on courses equip developers and engineers with the technical skills to design, build, and deploy autonomous AI agents using frameworks to automate complex workflows and create intelligent, decision-making systems. Developers will work with multiple frameworks including AutoGen, LlamaIndex, and LangGraph while building real-world applications such as advanced chatbots and task automation systems.

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Gain the technical skills and strategies to successfully implement agentic AI systems across organizations while navigating challenges and identifying opportunities. With these courses, tech leaders will be able to understand, design, and implement agentic AI systems. Balancing technical and leadership knowledge, tech leaders can drive innovation and prepare their teams with the advancements in agentic AI workflows and systems.

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As AI regulations continue to evolve, tech leaders must stay informed about the legal, ethical, and governance challenges. This learning path provides a deep dive into key regulatory frameworks, including the EU AI Act, while also exploring compliance, governance strategies, and ethical considerations. Learn from top experts how to navigate the complex landscape of AI regulations and ensure responsible AI deployment in your organization.

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As artificial intelligence continues to advance, it's essential for business leaders to understand the AI regulatory landscape. This learning path provides a comprehensive overview of AI governance and ethical considerations, and explores the implications posed by the European Union AI Act.

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This practice exam is intended to help you prepare for the Azure AI Fundamentals certification exam.

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This practice exam is intended to help you prepare for the Azure AI Fundamentalscertification exam.

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This practice exam is intended to help you prepare for the Azure AI Fundamentals certification exam.

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This practice exam is intended to help you prepare for the Azure AI Fundamentals certification exam.

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The AWS Certified AI Practitioner (AIF-C01) exam is intended for individuals who can effectively demonstrate overall knowledge of artificial intelligence and machine learning, generative AI technologies, and associated AWS services and tools, independent of a specific job role. Check out this course to prepare for the exam, which till test your knowledge of: AI, ML, and generative AI concepts, methods, and strategies in general and on AWS; the appropriate use of AI/ML and generative AI technologies to ask relevant questions within your organization; the correct types of AI/ML technologies to apply to specific use cases; and using AI, ML, and generative AI technologies responsibly. This course was created by Chad Smith and Pearson. We are pleased to host this training in our library.

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Unlock the power of AI in business analysis with this learning path. Designed for analysts, strategists, and business professionals, these courses guide you from AI fundamentals to practical implementation. Learn how to leverage AI tools like ChatGPT and generative AI for insights, decision-making, and strategic analysis. Whether you're new to AI or looking to enhance your skills, this path equips you to drive smarter business outcomes.

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This practice exam is intended to help you prepare for the AWS Certified AI Practitioner certification exam.




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This practice exam is intended to help you prepare for the AWS Certified Machine Learning - Specialty (MLS-C01)certification exam.


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This practice exam is intended to help you prepare for the Google Cloud Professional Machine Learning Engineer certification exam.


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This practice exam is intended to help you prepare for the AWS Certified AI Practitioner certification exam.


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This practice exam is intended to help you prepare for the AWS Certified Machine Learning - Specialty (MLS-C01)certification exam.


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This practice exam is intended to help you prepare for the Google Cloud Professional Machine Learning Engineer certification exam. After you launch the practice exam, there are three practice modes available; timed, untimed, or custom.

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This comprehensive learning path is for Azure developers in an enterprise environment looking to build and scale AI products. Focusing on implementation and responsible AI, it includes fundamental coverage of LLMs and AI agents, as well as deep-level coverage of building multi-lingual AI apps, building a RAG solution with Azure tools, creating agents using Azure OpenAI, and leveraging the Azure AI Model Catalog for development and deployment.

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Dive into the transformative world of AI. This learning path offers a well-rounded understanding of AI's impact and potential, from foundational concepts to practical tools, ethical considerations, and strategic growth. Whether you're at a startup or a well-established small to medium-sized business (SMB), you'll gain the knowledge to integrate and manage AI responsibly and effectively.

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Creative professionals (graphic designers, photographers, digital artists) seeking to understand and incorporate generative AI into their workflow. This includes: 1. Creative practitioners wanting to understand generative AI fundamentals and ethical implications 2. Visual artists and designers looking to adopt AI imaging tools alongside traditional methods 3. Adobe Creative Cloud users wanting to leverage built-in AI capabilities 4. Creative professionals concerned about legal implications of AI-generated content in their work.

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AI orchestration is essential for building successful AI products that deliver real business value. These courses teach you how to design, develop, and deploy production-grade AI systems—from initial prototype architecture to testing, validation, and monitoring for observability.

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Master the principles and practices of responsible AI development and deployment. This comprehensive learning path covers data governance, bias mitigation, ethical considerations, and explainable AI techniques. Learn to build AI systems that are transparent, fair, and accountable while ensuring compliance with regulations and standards. Tune in, pass the final exam, and earn your certificate.

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Build secure and compliant AI systems with this comprehensive security certification path. Learn to protect sensitive data, implement secure architectures, monitor for threats, and respond to incidents across your AI infrastructure. Master security best practices for data governance, deployment pipelines, and incident response to defend AI systems against emerging threats. Tune in, pass the final exam, and earn your certificate.

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Transform AI product development through expert-guided prototyping. This comprehensive certificate program teaches you to identify viable AI opportunities, develop responsible frameworks and assess technical feasibility. Through hands-on courses, master the fundamentals of prototype development, deployment validation, and security-first design practices. Tune in, pass the final exam, and earn your certificate.

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The AWS Certified Machine Learning Engineer - Associate exam validates your ability to build, operationalize, deploy, and maintain machine learning (ML) solutions and pipelines by using the AWS Cloud. Prepare for the exam with this course by learning how to: ingest, transform, validate, and prepare data for ML modeling; select general modeling approaches, train models, tune hyperparameters, analyze model performance, and manage model versions; choose deployment infrastructure and endpoints, provision compute resources, and configure auto scaling based on requirements; set up continuous integration and continuous delivery (CI/CD) pipelines to automate orchestration of ML workflows; monitor models, data, and infrastructure to detect issues; and secure ML systems and resources through access controls, compliance features, and best practices.

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Software developers and engineers looking to enhance their coding productivity with AI-assisted tools. This includes programmers of all experience levels who want to leverage GitHub Copilot to accelerate development workflows, improve code quality, and adopt responsible AI practices. Particularly valuable for developers seeking to modernize their approach to coding through AI collaboration, refactoring expertise, and ethical considerations in AI-assisted programming.

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Marketing and content professionals who want to understand and leverage AI tools to enhance their work. This includes digital marketers seeking to integrate AI into their strategies, content creators looking to use AI while maintaining authentic voice, and marketing managers developing AI implementation plans. Ideal for those with limited technical AI knowledge who need practical applications rather than technical depth, ranging from beginners exploring AI concepts to experienced marketers wanting to responsibly incorporate generative AI into existing workflows.

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Get equipped with the end-to-end data management skills needed for successful AI initiatives. This comprehensive learning path covers topics from strategic data planning through advanced processing. Learn how to implement practical techniques for collecting, modeling, and preparing high-quality data for AI applications. Master the complete data management lifecycle required to support sophisticated AI systems in production environments.

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Master advanced data engineering for AI systems through this comprehensive path. Learn data integration, API development, versioning, and quality monitoring. Then explore knowledge graphs, GraphRAG architectures, and semantic search techniques. Complete your journey with MLOps implementation for orchestrating data pipelines across the AI lifecycle, gaining essential skills to build reliable, production-grade AI applications.


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This course will help learners upskill and build the required knowledge to help them prepare for the Azure AI Fundamentals Exam (AI-900).


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Get ready to take the Microsoft Azure Data Scientist Associate (DP-100) Certification exam.


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Explore foundational tools for MLOps, including Docker, Kubernetes, MLflow, and Hugging Face, and understand how to prepare data and orchestrate AI pipelines. Courses cover the full model lifecycle—from development to deployment, monitoring, and bias detection—along with essential concepts in ML security. Ideal for developers and ML engineers, this path ensures learners are equipped to build scalable, secure, and production-ready AI systems.

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Adobe Firefly revolutionizes creative workflows by integrating generative AI into design processes. This learning path helps creative professionals to harness AI-powered tools for enhanced productivity and innovative artwork creation. These courses cover essential Firefly fundamentals, advanced production techniques, and seamless Photoshop integration for professional projects. Complete the courses, pass the final exam, and earn your certificate.

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Master the rapidly growing field of AI agent building, where developers create AI systems that think and act independently. This learning path helps Python developers, automation engineers, and ML practitioners get ready to create the next generation of intelligent applications. Learn how to architect multi-agent systems that collaborate and solve complex problems autonomously using cutting-edge frameworks like LangGraph, LlamaIndex, and Model Context Protocol.

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Transform ideas into working apps—without traditional coding—by leveraging vibe coding. Entrepreneurs, business professionals tired of waiting for IT, and developers seeking 10x speed can guide AI using strategic prompting to build software. Vibe coding allows you to steer the vision while AI handles the execution, resulting in full-stack apps and real solutions.

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In today’s AI-driven workplace, prompt engineering is quickly becoming a must-have skill. This learning path guides you through foundational techniques and multimodal prompting to building AI agents with advanced prompt strategies. No matter your technical background, you’ll gain the confidence and tools to guide AI outputs with clarity, precision, and creativity.

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