Hi all I am new to the forum. I completed the AI for Everyone course on Coursera before learning of this platform. I joined here and completed the AI Prompting for Everyone course. I have started the Agentic AI course but am a beginner when it comes to coding. I can see the world transitioning to a future where AI continues to become more and more prominent in the daily lives of everyone. I am currently exploring career path options and want to pursue the goal of becoming an AI builder and/or consultant. What course path should I take? Any advice would be greatly appreciated!
To become a successful AI builder or consultant, you need to transition from non-technical concepts to hands-on programming. Jumping straight into Agentic AI without coding experience will be difficult.
Here is the recommended path to bridge the gap:
- Master Python Basics: Before taking more AI courses, learn Python fundamentals (variables, loops, functions, lists, dictionaries, and basic object-oriented programming). The “Python for Everybody” specialization on Coursera is a solid starting point.
- Learn Machine Learning Foundations:
- Once you know basic Python, take the Machine Learning Specialization by Andrew Ng. It teaches you how ML works under the hood using code.
- Follow this with the Deep Learning Specialization if you want to build custom neural networks or work with computer vision and NLP.
- Transition to Generative AI & Agents:
- Take the Generative AI with Large Language Models (GenAI with LLMs) course on Coursera or DeepLearning.AI platform. This gives you the core technical background for modern LLMs.
- Explore DeepLearning.AI’s short courses on LangChain, CrewAI, and API integration. These are perfect for AI consultants who want to stitch APIs together to build functional apps.
As an AI consultant, you must understand the limitations of these models (hallucinations, latency, cost) and how to evaluate them. As a builder, you must be comfortable reading and writing Python code daily. Focus on Python first.
Thank you very much for the reply! I will start with the Python for Everybody course
If “Python for Everybody” feels too long and you want a quicker start, take AI Python for Beginners by Andrew Ng. It is specifically designed to teach Python through the lens of AI and is available on both Coursera and the DeepLearning.AI website.
I think it is very important to establish a solid foundation and the Coursera course seems like the perfect starting point. I appreciate the recommendation. Are there any other beginner courses you recommend taking on the computer science side? I have a basic understanding but feel like diving deeper in that area would also been beneficial. Thanks again for the replies!
For a solid foundation in computer science tailored for AI development, focus on these areas:
- Computer Science Fundamentals: Take Harvard’s CS50x (Introduction to Computer Science) or MIT’s 6.0001 (Introduction to Computer Science and Programming in Python). CS50x is a great broad introduction, while MIT’s course uses Python directly, making it highly applicable to AI from day one.
- Databases & Data Engineering: AI models rely on clean data pipelines. Take a practical SQL course (like SQL for Data Science on Coursera). If you are interested in working heavily with data, look at the Data Engineering Specialization by DeepLearning.AI on Coursera. It is AWS-heavy but excellent for learning data pipelines and storage.
- Command Line & Terminal: You will need to run scripts, manage environments, and interact with servers. A simple crash course on Bash/Terminal commands is essential.
- Version Control (Git/GitHub): Absolutely required for collaborating on code and tracking changes. Find a quick 1-hour tutorial on Git basics (cloning, committing, branching, and pushing).
Mastering these areas alongside Python will give you the baseline tools needed to understand how AI software actually runs and integrates with production systems.