Top Free AI Training Courses Available in June 2024

Discover Machine Learning with a Stanford Professor or Explore AI Applications in Python through These Free Courses

The AI hype cycle has been ongoing for years, significantly impacting every industry. It's high time to learn about this technology trend.

For the average person, understanding AI or integrating it into their job can be daunting. That's why we've compiled a list of top AI training courses.

Previously, we've highlighted essential AI courses, but there are many more options available, varying in time commitment and depth of knowledge. Here are the best courses to consider in June 2024.

IBM Introduces Generative AI for All

⏰Length: 4-8 hours

IBM, a major player in the tech industry, offers a foundational course that's perfect for anyone serious about understanding AI, its applications, and potential use cases.

This self-paced course takes about four weeks to complete, with an estimated commitment of 1-2 hours per week. It covers key AI concepts such as Machine Learning, Deep Learning, and Neural Networks. The course also addresses ethical considerations and includes career advice from top AI experts.

To begin, visit edX and enroll in this free course. Upon completion, you'll earn a badge, and the course is available with subtitles in multiple languages, including German, Spanish, French, and Portuguese.

AI Basics for Business Professionals

⏰Length: About 2 hours

Want a quick way to master AI for business purposes? If you're using the Microsoft 365 suite, this 2-hour course is perfect. It’s designed for those without a deep STEM background, making AI accessible and practical.

This course focuses on the Microsoft Power Platform, teaching you how to create reports and dashboards with AI-powered data insights. While it’s not a comprehensive AI overview, it’s highly relevant for anyone working with Microsoft tools, offering plenty of opportunities to showcase your skills.

Best of all, you can complete it in just an afternoon. Explore this course and more on the Microsoft website today.

Stanford's Comprehensive Machine Learning Specialization

⏰ Length: 80 hours

Embark on a learning journey with Stanford University's Andrew Ng through a three-course series delving into the intricacies of machine learning. This updated version of the course, initially launched in 2012, boasts a stellar rating of 4.9 out of 5 from over 4.8 million viewers, making it highly recommended.

Designed as a pathway to breaking into AI or establishing a career in machine learning, the series offers insights into modern machine learning techniques, including supervised and unsupervised learning. You'll also learn about best practices in machine learning innovation, such as evaluating and tuning models and adopting a data-centric approach to performance improvement.

The series spans approximately two months for those dedicating 10 hours a week and, like most free online courses, allows for self-paced study. Explore it now on the Coursera website.

HarvardX Presents: CS50's AI Intro Using Python

⏰ Length: 70-210 hours

While mastering the basics of AI is valuable, diving into a targeted training course can yield tangible skills directly applicable to AI-related roles within your existing coding expertise.

If you're proficient in Python, consider this course tailored to your skill set. Over seven weeks, with a commitment of 10-30 hours per week, you'll delve into machine learning using Python. Expect a challenging journey, but upon completion, you'll possess a thorough understanding of various concepts, including graph search algorithms, adversarial search, logical inference, probability theory, Bayesian networks, Markov models, and more.

Visit edX to enroll in the course or explore further details.

LinkedIn's Guide to Research and Writing with Generative AI Tools

⏰ Length: 5 hours

Enhancing research and writing with generative AI tools is a skill that many AI bots, like ChatGPT, claim to offer. However, achieving desired results involves navigating pitfalls such as prompt engineering and result refinement.

LinkedIn offers a solution with a course that ranks among the platform's top ten on LinkedIn Learning. Led by Dave Birss, the course guides users on interacting effectively with generative AI bots through prompts. You'll gain insights without delving into technical complexities, discovering intriguing facts, such as the impact of politeness on AI interactions.

Explore the full course on LinkedIn, available for free with a one-month trial sign-up.

Exploring the Depths of AI Education

For now, AI remains a valuable tool, and gaining insights into its workings can give you a significant advantage over many professionals. Whether you're considering a career change, currently job-hunting, or simply aiming to bolster your skill set, enrolling in one of the courses mentioned above is a wise choice.

For those seeking a quicker catch-up, we've curated additional AI resources here at Tech.co. Explore quick tips on crafting effective prompts, identifying genuinely helpful GPT bots, or even crafting a resume template using AI.

However, it's essential to remain mindful of the drawbacks associated with AI. Be cautious of potential biases, cybersecurity vulnerabilities, and legal implications. While AI is undoubtedly a prominent trend, it's crucial to recognize its imperfections.