The introduction of AI has impacted every industry, business, and role imaginable. While many feared that AI would take away their jobs, it created more opportunities.
Around 57% of IT decision-makers believe generative AI is a game changer, and 86% of IT leaders think that generative AI will soon play a dominant role in their organizations. If you’re ready to take advantage of this shift, equip yourself with AI skills using the 12 free AI courses shared below.
Machine Learning Crash Course
It is a free course by Google that helps people understand what machine learning is, how it works, and how it can be used for them. You don’t need previous knowledge of machine learning to take this course. Still, you must be comfortable with topics like histograms, linear equations, variables, statistical means, etc., to understand the concepts covered in this course. The course is 15 hours long and contains 12 modules filled with explainer videos, real-world examples, and exercises. Take this free machine learning course if you’re ready to give yourself a head start in the AI space.
AI for Beginners
Microsoft has designed a comprehensive 12-week course on AI to help participants get a clear understanding of this tech. This free course is ideal for beginners and contains 24 lessons packed with valuable insights, quizzes, lab exercises, etc., to make learning fun and easy. The course is designed to cover different approaches to AI, neural networks, deep learning, neural architecture, and less popular AI approaches, like Multi-Agent Systems. Anyone who wants to develop a deeper AI understanding from a technical perspective can benefit from this course.
Introduction to AI
Intel has designed this free, self-paced course to help AI enthusiasts get better knowledge about AI technology in general, what it’s used for, why it’s important, essential hardware and software for AI, etc. The course is meticulously designed around eight weeks and provides several exercises to strengthen your subject understanding. Prior knowledge of Python programming can help you better absorb the material and practice the given exercises.
Prompt Engineering for ChatGPT
This free course by Vanderbilt University is all you need to learn how to craft prompts to get the desired output from ChatGPT and other similar LLMs. Prompt engineering is one of the best skills you can learn in AI because it determines the quality of output you’ll receive. It is a self-paced course divided into six modules and primarily covers an introduction to prompting, examples, and prompt patterns. You don’t need any prior prompting experience to take this course.
Introduction to Generative AI
Designed by Google Cloud, this short course is perfect to explore what generative AI exactly is. It is ideal for beginners who want to gain insights into generative AI, especially its fundamentals, different generative AI model types, how it works, and a glimpse into generative AI applications. If you’re new to generative AI, starting with this course can make it easier to understand advanced concepts later. You can enroll in this course for free.
Generative AI for Executives
Amazon Web Services has designed this short yet value-packed course. It intends to help non-technical professionals in decision-making roles understand generative AI and how it can be introduced into their organizations. This course explains the foundational terms and concepts related to generative AI, highlights the strategic decisions needed during building a generative AI solution for an organization, and assists with understanding how companies can prepare themselves to use generative AI successfully.
Generative AI with LLMs
This course is perfect for you if you’ve already taken beginner-friendly AI courses and have some experience in AI or related space. It is a comprehensive course divided into three modules that cover foundational knowledge of how generative AI works, the latest research on Gen AI, and instructions from experienced AWS AI practitioners to explore how AI is built and deployed in businesses. You can enroll for free and learn at your own pace.
Deep Learning for Robotics
Learn how to use deep learning for robotics applications in this free course. It is a 4-week, self-paced course designed by Intel in collaboration with the Arizona State University’s Interactive Robotics Lab. This course takes you on a learning journey, from understanding simple neural networks to exploring long short-term memory, reinforcement learning, and more. The modules in this course will lay a strong foundation for using deep learning algorithms in various robotics workloads.
Generative AI Explained
Anyone struggling to understand what generative AI is, its applications, potential opportunities and challenges must take this short course created by NVIDIA. It is a no-coding course designed exclusively for beginners. In 2 hours, enrolled students can get a clear overview of generative AI, its applications, associated challenges, and potential opportunities. It is enough to familiarize a person with this technology, making it easier to learn advanced concepts at a later stage.
Generative AI: Business Transformation & Career Growth
If you’re impressed by AI and plan to explore potential career opportunities in this space, then consider taking this course. You can enroll for free and learn at your own pace. This beginner-level AI course is approximately 4+ hours long and divided into three main modules. The course begins by highlighting the trends, ideas, and implementation of generative AI. It then moves towards the impact and opportunities for career growth in the AI space, followed by a project wrap-up.
Generative AI for Data Scientists Specialization
Data scientists who want to learn generative AI must take this comprehensive course to get better job opportunities. It will teach generative AI prompt engineering concepts, ways to identify the right tool for different tasks, applying skills to identify real-world uses and more. The course is divided into three modules that can be finished within a month. You can enroll for free or explore their financial aid options.
12 AI Roles That Come With Fat Paychecks
According to PwC’s 2024 AI jobs barometer report, the demand for jobs requiring specialized AI skills has grown sevenfold since 2016. It is three times the growth rate of other job types.
This article lists 12 AI jobs that stand out because of their high pay.
11 AI Tools to Help You Get Past Recruiter Bots and Get Hired
Companies have started automating certain aspects of the hiring process by using AI tools for tasks like candidate screening, scheduling interviews, answering common questions, etc.
While this is a great way to free time for strategic hiring efforts, it lowers job hunters’ chances of clearing the initial screening process. This article covers 12 AI tools to help job hunters get past the recruiters’ bots and land more interview opportunities.
