Скачать или смотреть AI Agen Learning Roadmap | Rakesh Gohel

Starting with AI Agents can be very difficult, but here's a roadmap to get started easier.

📌 Level 1: Basics of ML and GenAI

Python and Typescript Basics: Data types, control structures, file I/O, and simple networks.
Machine Learning Basics: Types of ML, neural networks, deep learning, and reinforcement learning.
API Wrappers: API types, GPT-based wrappers, authentication, and secure communication.
Prompt Engineering: Chain of Thought, Graph of Thought, zero-shot, few-shot techniques, and role-based prompts.
LLMs Basics: Transformer models, MoE, fine-tuning, and context windows.

📌 Level 2: Deep Dive into RAGs and AI Agents

RAGs Basics: Embeddings, vector databases, retrieval, and generation models.
AI Agents Basics: Agent types, design patterns, tools, and memory management.
AI Agent Frameworks: Orchestration, planning, feedback loops, and streaming workflows.
Multi-Agent Systems: Communication patterns, hand-offs, and A2A protocols.
Evaluation and Observability: Metrics (latency, stress tests, logging) and observability for scalable AI agents.

For in-depth details + learning resources, check here: https://www.linkedin.com/posts/rakesh...

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