7 Steps to Learn Programming with AI

 Step 1: Master the Basics of Python

Start with the basics of Python programming. Understand:

- Basic commands,

- APIs, Libraries, Virtual Environments

- Data structures: Lists, Tuples, Dictionaries


Step 2: Understanding Large Language Models (LLMs)

LLMs are crucial for AI projects. Familiarize yourself with terms like tokens, context window, and temperature.

Focus on GPT-4 and Gemini.


Step 3: Learn Prompt Engineering Techniques

Effective communication with LLMs is essential. Focus on: Specific questions, providing context, clarity of objectives, and improving questions through repetition.


Step 4: Program an AI tool

Using Python, OpenAI API, Gemini API, and Streamlit. For example: Extracting information from a resume.


Step 5: Share with colleagues

Share your work and learning progress with your colleagues.


Step 6: Repeat Steps 4 & 5

Continue building projects and sharing your journey to strengthen your skills and showcase your abilities.


Step 7: Find a Mentor

A mentor provides guidance, support, and saves you time. Their experience is invaluable.


Practical Topics to Explore

Enhance your AI technical skills with these topics:

- Retrieval-Augmented Generation (RAG)

- LangChain

- Vector database, Vector Embedding

- LLMs


Let's begin this journey and become a proficient AI engineer.



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