Top 5 Generative AI Courses in High Demand

With Generative AI expected to boost salaries by nearly 50% in 2024 and change industries across the globe, professionals everywhere are eager to learn more about artificial intelligence. This growing interest is clear on Coursera, an online learning platform, which has seen over two million enrollments in AI-related courses.

This surge in enrollments shows that people are recognizing how AI skills can improve their jobs, businesses, and careers. Coursera has identified the top five AI courses that are most popular among learners. These courses, which include certifications, are available for free if you qualify for financial support.

The list includes:

Introduction To Generative AI

This introductory course by Google Cloud is a great starting point for your AI learning journey. It covers basic concepts like what Generative AI is and how GenAI applications work.

The course only takes about an hour to complete, according to the website, and it’s part of a larger “Introduction to Generative AI” learning path. This means there are additional courses you can take afterward to build on the knowledge you gain here.

Prompt Engineering For ChatGPT

Offered by Vanderbilt University, this course focuses on a key skill essential for applying AI in the workplace: prompt engineering. Prompt engineering involves understanding how to create the right prompts or inputs for AI models, enabling them to deliver the desired results.

Generative AI For Everyone

DeepLearning.AI’s Generative AI course, led by renowned instructor Andrew Ng, offers a more comprehensive introduction to artificial intelligence. The course, which takes about five hours to complete, covers key topics such as understanding AI project lifecycles, exploring GenAI software and workflows, and, most importantly, learning how to use this technology responsibly and ethically.

Generative AI with Large Language Models

This course, offered by DeepLearning.AI in collaboration with AWS (Amazon Web Services), covers essential topics like fine-tuning and evaluating large language models (LLMs), exploring generative AI use cases, and understanding LLM application architecture. It also includes online lab work to help you put what you’ve learned into practice.

Google AI Essentials

This course has attracted over 360,000 learners, making it the most popular among the AI courses listed. Designed for beginners and taught by AI experts from Google, this certificate program provides a solid foundation in AI.

It covers essential topics such as AI bias, privacy and security considerations, the use of AI tools, and the relationship between artificial intelligence and machine learning.

While Coursera offers a wide range of AI courses, it’s not the only platform where you can learn these skills for free and at your own pace. Other platforms like LinkedIn Learning, Codecademy, Databricks, and even Harvard University also provide opportunities to develop AI expertise.

Take advantage of every opportunity to grow professionally, learn new skills, and stay in demand throughout your career. By doing so, you can future-proof yourself against potential career challenges.