LinkedIn Learning's Latest AI Courses: A Comprehensive Guide

In the fast changing world of AI, everyone talks about AI but very few actually make an attempt to understand what goes behind the scenes of building a contextually relevant AI model for their business. Fundamental building blocks are often overlooked. LinkedIn Learning, in collaboration with leading experts in artificial intelligence and data science, has unveiled a range of recently updated courses. These offerings, each less than two months old, bring forth fresh insights from the forefront of AI, enriching your understanding and expertise in this dynamic field.

These curated courses cater to beginners and intermediate learners in the AI domain, offering significant advantages for decision-makers, executives, and community builders aiming to tap into AI's capabilities.

1. Learning AI with Github Copilot

Discover AI through Github Copilot in this course by Microsoft Learn, led by renowned cloud advocates, Carlotta and Gustavo. Learn to set up Python and Jupyter notebooks with Visual Studio Code, explore machine learning fundamentals, delve into AI's role in computer vision, and install the GitHub Copilot Labs extension for Python notebooks.

2. Responsible AI to the Rescue by BCG [Audio Course]

Join Steve Mills, BCG Gamma's Chief AI Ethics Officer, in understanding responsible AI principles that guide organizations in deploying AI. Learn how collaboration with stakeholders builds confidence in AI applications. Equip yourself to use responsible AI techniques regardless of government regulations.

3. UX for AI Design Practices for AI Developers [Advanced]

Explore ethical and effective UX design for AI applications with John Maeda, VP of Design & AI at Microsoft, LinkedIn Top US Influencers and Author of How To Speak Machine: Gentle Intro to AI+ML. The course navigates new approaches in collaborative UX using tools like Microsoft Copilot stack and Semantic Kernel. You can also learn how to prioritize user needs while leveraging AI models.

4. Building Generative AI Skills for Business Professionals [Learning Path]

Dive into generative AI skills with experts like Sho Dewan (CEO Workhap ), Rachel Woods (Data Scientist and Founder of The AI Exchange ), Nick Haruz (Certified Adobe, Apple, and Avid Trainer), Dave Birss, Ronnie Sheer (full-stack software developer, speaker, and Python enthusiast), and Tomer Cohen (Chief Product Officer at LinkedIn). This comprehensive learning path covers everything from generative AI research to prompt engineering and boosting productivity using AI.

5. Hands-on Data Science and AI for Healthcare [Advanced]

Explore data science in healthcare with Wuraola Oyewusi. Wuraola Oyewusi is an experienced data scientist, machine learning, and artificial intelligence professional.

Learn data analysis techniques and machine learning algorithms applicable to disease prediction, patient sentiment analysis, and radiology image detection. Gain skills in exploratory data analysis for visualizations.

6. Training Neural Networks in C++ [Advanced]

Instructor Eduardo Corpe?o guides you in creating intelligent systems with neural networks from scratch in C++. Eduardo Corpe?o has been an electrical engineer, computer programmer, and teacher for over 15 years.

Learn to choose network architectures and training methods. Design and train SDR neural networks for various tasks. This one is slightly advanced and needs a thorough understanding of C++ basics before going through the course content.

7. AI Show: Responsible AI Mitigations and Tracker [Intermediate] & AI Show: Being Responsible with Generative AI

The AI Show is a licensed partnership with Microsoft Learn that showcases the amazing work happening in AI at Microsoft.

Discover the various nuances associated with Generative AI from Besmira Nushi (Principal Researcher at Microsoft) and Marah Abdin (Research Software Dev Engineer at Microsoft Research) and Seth Juarez (Principal Program Manager, AI Platform at Microsoft) in this amazing short course.

8. Casual AI: A Tech Primer [Intermediate]

Delve into causal AI with Robert Joseph, President and Co-founder of Team MindShift . Examine real-world case studies and coding demonstrations. Learn the advantages and disadvantages of causal AI and how to leverage it effectively.

9. Machine Learning Foundations: Probability [Beginner]

Explore probability's role in machine learning with Terezija Semenski - Software Developer, Mathematician, Writer, and Learner.

Learn essential tools for probabilistic modelling and apply probability concepts to machine learning algorithms.

10. Top 10 Skills for AI Systems Designers

Boost your AI systems design skills with Ben Sullins - Founder of Free the Data Academy .

Develop expertise in AI and ML algorithms, programming languages, data analysis, NLP, computer vision, cloud computing, system design, integration, security, and problem-solving.

11. Generative AI: The Evolution of Thoughtful Online Search

Understand generative AI's impact on online search strategies with Ashley Kennedy, Managing Staff Instructor at LinkedIn Learning. Discover the power of prompt engineering and language nuances in AI-driven reasoning engines.

12. Career Essentials in Generative AI by Microsoft and LinkedIn [Learning Path]

Uncover the world of generative AI models, ethics, and applications. Get insights into the uses of generative AI in today's digital landscape.

Explore these courses to get started with your AI knowledge and thrive in the evolving world of artificial intelligence. If you know of any other valuable courses that should be added to this list, please don't hesitate to share your suggestions