Explore Artificial Intelligence courses that cover skills like machine learning, data science, deep learning, and Generative AI, and find how you can leverage these AI resources to boost your career.

All of these courses are free to enroll in and save you thousands of dollars.

Here’s a quick breakdown of each course:

Artificial Intelligence:

• AI For Everyone – AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone, especially your non-technical colleagues to take.
• Google AI Essentials – Google AI Essentials is a self-paced course designed to help people across roles and industries get essential AI skills to boost their productivity.
• Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization – Acquire foundational knowledge of the core concepts related to artificial intelligence (AI) and the services in Microsoft Azure that can be used to create AI solutions. This program is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.
• HarvardX: CS50's Introduction to Artificial Intelligence with Python – This 7-week course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.

Generative AI:

• Generative AI Essentials: Overview and Impact – This course from the University of Michigan introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like.
• Planning a Generative AI Project – In this course from AWS, you will learn about the technical foundations and key terminology related to generative artificial intelligence (AI). You will also learn how to evaluate the risks and benefits of using generative AI and explore the steps to planning a generative AI project.

Machine Learning, Deep Learning & Data Science:

• Mathematics for Machine Learning Specialization – Learn about the prerequisite mathematics for applications in data science and machine learning in this course provided by Imperial College London.
• Machine Learning Specialization – The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online.
• Microsoft Azure Data Scientist Associate Professional Certificate – Become a certified Microsoft Azure data scientist and use cutting-edge tools to build machine learning models.
• Introduction to TensorFlow for AI – This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
• Google Cloud Certification: Machine Learning Engineer Professional Certificate – Prepare for the industry-recognized Google Cloud Professional Machine Learning Engineer certification and deepen your expertise in machine learning using this 8-course series.
• Deep Learning Specialization – A foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.
• Big Data, Artificial Intelligence, and Ethics – This course from the University of California, Davis gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence.
• LLMOps – In this course, you’ll go through the LLMOps pipeline of pre-processing training data for supervised instruction tuning, and adapt a supervised tuning pipeline to train and deploy a custom LLM.

Prompt Engineering:

• Prompt Engineering for ChatGPT – This course from Vanderbilt University will teach you how you can use them to be more productive day to day, and give you insight into how they work.
• ChatGPT Prompt Engineering for Developers – In this course from DeepLearning.AI you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

- edX: AI Applications and Prompt Engineering – Learn to create AI applications with prompt engineering in this introductory 1 week online course provided by edX.

Happy Learning !!!