afriwallstreet Roadmap to Master AI Agents in 2025 1. Introduction to AI Agents Understand AI agents, their types, and their role in automation and workflows. Learn about reactive, proactive, and autonomous agents. 2. Mathematics Foundations Master probability, statistics, linear algebra, calculus, and optimization techniques essential for AI model development. 3. Programming Skills Gain proficiency in Python (NumPy, Pandas), JavaScript, and TypeScript for AI agents. Learn data manipulation and API handling. 4. Data Structures & Algorithms Study arrays, trees, graphs, and sorting algorithms. Learn reinforcement learning basics for AI-driven decision-making. 5. AI Models & Large Language Models (LLMs) Understand GPT, LLaMA, Claude, and Mistral. Learn fine-tuning, prompt engineering, and retrieval-augmented generation (RAG). 6. Natural Language Processing (NLP) Explore tokenization, sentiment analysis, and Named Entity Recognition (NER) using libraries like spaCy and NLTK. 7. Multi-Agent Systems & Planning Develop skills in agent coordination, task planning, goal optimization, and AI agent communication strategies. - Vaibhav Aggarwal
