Where to Start

If you are trying to break into the world of business and IT these days and are confused as to where to start, you are not alone. I highly recommend looking at the roadmap links below if you are looking at trying to break into the industry as an engineer. Even managers and leaders these days, are expected to understand the technologies, and be proficient, so I strongly recommend finding time for education in your week.

Out of all the links below, if like me, you prefer hands on learning, I cannot recommend DataCamp enough. It’s a pay for service, but it’s worth the money, as a fun and engaging platform, that works well across multiple devices.

Programming and General IT Training

Leadership, Careers and Veterans

Miscellaneous Resources

Here are 8 FREE courses to master AI in 2025:

1. Google AI Courses Google offers 5 different courses to learn generative AI from the ground up. Start with an Introduction to AI and finish having a solid understanding of AI as a whole. 🦾 https://lnkd.in/eW5k4DVz

2. Microsoft AI Course Microsoft offers an AI course that covers the basics and then more. Start off with an introduction and continue through learning about neural networks and deep learning. 🦾 https://lnkd.in/eKJ9qmEQ

3. Introduction to AI with Python Harvard University is offering a full 7-week course to explore the concepts and algorithms of AI. Start with the technologies behind AI and end with knowledge of AI principles and machine learning libraries. 🦾 https://lnkd.in/g4Sbb3nQ

4. Prompt Engineering for ChatGPT This 6 module course by Vanderbilt University offers beginners a starting point to writing better prompts. Start by learning effective prompting and complete the course knowing how to bend ChatGPT to your will. 🦾 https://lnkd.in/d-rCb-AM

5. ChatGPT Prompt Engineering for Devs OpenAI in collab with DeepLearning is offering this course taught by Isa Fulford and Andrew Ng. Start off with best practices and finish with a better understanding of prompting with hands-on practice. 🦾 https://lnkd.in/gtGc5Znp

6. LLMOps Google Cloud in collab with DeepLearning is offering this brand new course taught by Erwin Huizenga. Go through the LLMOps pipeline of pre-processing training data and adapt a supervised tuning pipeline to train and deploy a custom LLM. 🦾 https://lnkd.in/gMXDr7MJ

7. Big Data, Artificial Intelligence, and Ethics In this 4 module course, the University of California - Davis covers big data and introduces IBM's Watson. Start by learning about big data opportunities and end knowing the limitations of AI. 🦾 https://lnkd.in/gVEf3Dvm

8. AI Applications and Prompt Engineering edX has an introductory course on prompt engineering that goes beyond the basics. Start by learning the basics and end knowing how to create your own applications. 🦾 https://lnkd.in/g2P9U_Bs