AI LEARNING PATHS AND CERTIFICATIONS

Course details

Whether you work in film, marketing, healthcare, automobile, or real-estate, generative AI is changing the way your job is executed, and those who adapt early will reap its benefits sooner. All professions will be affected by generative AI. Its invention can be compared to the invention of photography, a true creative revolution. If you want to be part of the leaders that are advancing this revolution, this course can get you started on your learning journey.

In this course, generative AI expert Pinar Seyhan Demirdag covers the basics of generative AI, with topics including what it is, how it works, how to create your own content, different types of models, future predictions, and ethical implications.

Learning objectives

• Differentiate between AI and the subcategories of AI.
• Determine the elements involved when a user creates their own content with AI.
• Describe the functionality of natural language models.
• Explain how variational autoencoders (VAEs) are used in anomaly detection.
• Articulate what executives and leaders should implement with AI.

Course details

While AI has been part of the customer service industry for many years now, the advent of newer technologies will have an even greater impact, and you need to stay apace with the latest trends. Understanding how to effectively implement and manage AI-powered solutions can significantly improve customer satisfaction, streamline operations, and drive overall business growth. In this course, join customer service expert Brad Cleveland to learn how to leverage AI in customer service, with a focus on foundations and principles that can help ensure your success. Brad introduces the design, development, and deployment of AI customer service solutions, as well as the integration of AI with existing customer service processes and systems. This course also explores some of the most important ethical and legal considerations associated with using AI in customer service and provides strategies for mitigating potential risks, ensuring compliance, and driving long-term business transformation.

This course is part of a Professional Certificate from Microsoft.

Learning objectives

• Develop a strategy for implementing AI tools to improve customer support.
• Analyze the benefits of AI technologies in customer authentication processes.
• Generate innovative ideas for customer experience enhancements using AI.
• Formulate methods to ensure fairness and accuracy in AI-driven systems.
• Identify industry standards for customer service quality.

Course details

Instructor Ziggy Zulueta helps you develop a foundational understanding of the core concepts of AI, generative AI, natural language processing, computer vision, document intelligence, knowledge mining, content safety, and machine learning on Azure. Get a glimpse into the practical applications of each. Develop a familiarity with the specific Microsoft Azure AI and ML services available through demos. Learn valuable concepts on responsible AI and harnessing AI for business. After you complete this course and pass the accompanying exam you’ll earn a professional certificate, providing an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services.

Learning objectives

• Describe artificial intelligence workloads and considerations.
• Describe fundamental principles of machine learning on Azure.
• Describe features of computer vision workloads on Azure.
• Describe features of natural language processing (NLP) workloads on Azure.
• Describe features of document intelligence, knowledge mining, and content safety workloads on Azure.
• Describe features of generative AI workloads on Azure.
• Describe Microsoft’s six responsible AI principles.
• Describe harnessing AI for business.

Course details

Learn how to craft high-impact prompts for generative AI tools. Whether you’re a beginner or have been experimenting with generative AI tools, this course offers a great introduction to the art of prompt engineering. Senior AI engineer Ronnie Sheer guides you through what large language models are and what problems they may be able to solve. Ronnie dives into text generation, starting with a warning to use text generation AI responsibly, then moving on to Copilot, ChatGPT, Gemini, and Claude. He introduces you to the AI generated image landscape, then shows you how to use Dall-E and Midjourney. Plus, Ronnie goes over advanced concepts like fine-tuning your prompts and interacting with language models using an API.

Learning objectives

• Understand the concept of prompt engineering and its importance in effective interaction with generative AI systems.
• Use generative AI tools like ChatGPT, Google Gemini, Microsoft Copilot, and Anthropic’s Claude to generate text and images for different applications.
• Explain the basic components of AI tools, including tokens in the context of generative AI.
• Evaluate the capabilities and limitations of language models to determine which problems can be solved by them.
• Demonstrate awareness of ethical and security considerations in responsible AI use.

Course details

Artificial intelligence has been affecting and transforming our lives for decades. But over the past few years, AI has made incredible progress, with some applications becoming so advanced that they are quickly becoming a powerful force in various industries, with the potential to reshape entire economies—and even reshape society.

This technology is called generative AI. It will reinvent how we humans will create content. It will redefine how we work, from automating mundane tasks to writing complex code. And it will accelerate our innovation to new levels. Whether you’re a senior executive or any aspiring leader, learning how this technology works, why it can be disruptive for your business and industry, as well as its limitations, is critical for your company and your career. Join LinkedIn’s Chief Product Officer Tomer Cohen as he shows you key tools and insights to help you use generative AI to reinvent the future of your business.

This course is part of a Professional Certificate from Microsoft.

Learning objectives

• Determine appropriate prompts for a desired output.
• Describe ways that generative AI can be used to provide data security.
• Recall the considerations involved in selecting the appropriate AI system.
• Identify key pitfalls and limitations in using generative AI.
• Assess potential advancements in generative AI technology.

Course details

Did you know that you can leverage generative AI to manage your team more effectively and efficiently? In this course, join instructor Ashley Herd—management expert and the creator of Manager Method—as she teaches you how to use cutting-edge generative AI tools to become more successful in your role as a manager—even if you’ve never used generative AI before. Learn how to spend more time focused on activities that will have a long-lasting impact on your team, such as employee development and coaching, delegating, business growth, innovation, upskilling, and more.

Develop critical, in-demand leadership skills for integrating AI into your management workflow, preparing for team and one-on-one meetings more efficiently, delivering feedback that gets results, creating growth opportunities that meet employee needs, and presenting data like never before. By the end of this course, you’ll be ready to enhance your personal effectiveness with AI and apply your new AI management skills in the workplace.

This course is part of a Professional Certificate from LinkedIn Learning.

Learning objectives

• Identify the ways ChatGPT can enhance communication efficiency within a team.
• Explore methods for using AI to generate detailed meeting agendas.
• Demonstrate how AI can analyze employee performance data to recommend targeted development opportunities.
• Evaluate AI-driven strategies for providing neutral and unbiased conflict-resolution advice.
• Illustrate how AI can streamline the succession planning process by automating routine tasks and analysis.

Course details

Artificial intelligence has seemingly boundless applications, and like many other industries, digital marketing is being remade by AI. In this course, Martin Waxman shows you how to sort through the hype, develop strategies, and find the right generative AI tools that help you achieve your business goals. Martin starts by explaining the difference between narrow and general artificial intelligence and what each does. He then discusses how generative AI writing, design, and productivity tools will alter your digital marketing and creative workflows. He shows you how to develop and implement a process to test and evaluate generative AI tools and select the ones that work best for your team and your business. You’ll also learn how to effectively incorporate generative AI tools into a digital marketing workflow. Finally, discover key issues digital marketers face when using AI tools and develop a strategy to successfully manage them.

This course is part of a Professional Certificate from Microsoft.

Course details

The rise of automation and AI has created opportunities for salespeople of all markets and professions to greatly improve efficiency. The technology can help you accurately strategize and forecast your upcoming sales performance, feed that information to management in real time, discover more about your prospects and products, complete complex tasks faster, remove simple, repetitive tasks from your everyday activities, and smoothly service your customers with post-sales activities. In this course, sales expert Miles Croft guides salespeople through the rise of automation and AI within the sales profession. Miles shares tips on how to leverage available technology to maximize efficiencies whilst minimizing time waste. He covers the best ways to bring AI and automation into key sales activities, such as: sales prospecting, lead generation, selling processes, post-sales activities, and forecasting.

Course details

AI is changing the way we work, and we need to shift our mindset if we want to change with it. In this course, LinkedIn Vice President Aneesh Raman explores the importance of human skills like critical thinking, empathy, emotional intelligence, effective communication, and creativity in the age of AI. Find out why these core skills still remain vital and what you can do as a professional to develop and maintain them. Along the way, Aneesh offers practical insights on how to leverage human skills to adapt to market changes and prepare for the future of work. Additionally, you’ll unlock key opportunities for collaboration and shared learning between human skills and AI. By the end of this course, you’ll be ready to balance your human skills alongside cutting-edge AI technologies to promote personal growth and redefine how you work.

Learning objectives

• Describe the competitive advantage of and demand for human skills.
• Leverage human skills to navigate change and prepare for the future of work.
• Use the power of AI to grow and amplify human skills, not replace them.
• Identify opportunities for collaboration and shared learning between AI and human skills.

Course details

From job descriptions to skills evaluation to recruiting assistance, generative AI is transforming HR departments. In this course, work futurist, consultant, speaker, and author Dr. Terri Horton guides you through transformations that are occurring and how you can use them effectively in your HR department. Learn how generative AI catalyzes, transforms, and amplifies HR in talent acquisition and onboarding; leadership and employee development; diversity, equity, and belonging, and overall employee experience. Find out how generative AI can support the development and evaluation of HR strategies and organizational policies and assist in compliance measures. Explore ways you can help prepare your organization’s workforce for generative AI. Plus, go over some important legal and ethical responsibilities and ideas on how generative AI will impact business, work, jobs, and HR processes.

This course is part of a Professional Certificate from LinkedIn Learning.

Learning objectives

• Explain what impact generative AI will have on the future of work.
• Describe how generative AI can assist in the talent and acquisition process.
• Determine the two key areas that need to be addressed in preparing the workforce for generative AI.
• Articulate the various topics that are essential for employee training on generative AI.
• Distinguish the legal and ethical responsibilities that companies have with generative AI.

Course details

Discover top-tier candidates with LinkedIn Recruiter, the AI-powered recruiting platform that helps you expand and diversify your talent pool. LinkedIn Recruiter is used by hiring managers, HR professionals, and recruiting experts to identify ideal candidates for diverse roles, surfacing fresh leads instead of repeatedly tapping the same networks. This course guides you through maximizing Recruiter, including its AI-driven features, to effectively search for, organize, and engage with candidates from a broader talent pool. Oliver Schinkten demonstrates how to create projects, conduct efficient talent searches using AI-assisted tools, and leverage features for managing your pipeline and team communication. Additionally, learn how to post jobs and evaluate your recruiting efforts’ performance through reports and analytics, ensuring you’re consistently reaching new and diverse talent pools.

The AI features in LinkedIn Recruiter are designed with fairness measures and privacy safeguards, using structured search parameters that don’t enable filtering by protected characteristics. For detailed information about AI compliance, data usage, and privacy policies, please refer to the AI-Assisted Search and Projects in Recruiter FAQ page.

Course details

LinkedIn Learning is investing in artificial intelligence across all roles and subjects to serve your entire organization, offering over 800 AI courses. Our “one library” investment provides general fluency across all professionals and technical levels while meeting skill and role-specific needs for individual contributors and leaders across your organization. In this course, learn how to leverage LinkedIn Learning’s AI content offering in your organization, based on learner expertise and AI-readiness. Instead of a one-size fits all approach, LinkedIn Learning’s AI Content Framework offers training across five levels—understanding, applying, building, model maintaining and training, and deep specialization—to optimize your organization’s AI journey.

This course is part of a Professional Certificate from LinkedIn Learning.

Course details

This course provides an overview of the learning path focused on the technical foundations for building AI products. The technology sector is undergoing a significant transformation, and this learning path equips technology leaders and innovative tech teams with the skills required to create AI products at scale.

When embarking on the development of an AI product or solution, it is imperative for teams to address several business considerations first. These include evaluating the viability of investing in AI, identifying the specific problem that needs resolution, securing funding, and obtaining stakeholder support. This learning path, built upon a curated list of LinkedIn Learning courses, is here to guide you through each aspect of that process.This course is part of the Professional Certificate.

Learning objectives

• List the objectives of the courses and why they are ordered in the way they are.
• Review the prerequisites and any required or optional tools for these courses.
• Explain the process to successfully receiving a professional certificate.