AI Sarva Logo
HomeLearnToolsPromptsPractice

Developer Path

intermediate 8 lessons ~16h

For developers who want to integrate AI into their workflow and build AI-powered applications.

Prerequisites

  • Basic programming knowledge
  • Familiarity with APIs

Lessons

1

Setting Up Your AI Coding Environment

30 min

Install and configure Claude Code, GitHub Copilot, and Cursor. Optimize your dev workflow.

2

Working with AI APIs

40 min

Make your first API calls to Claude, OpenAI, and Gemini. Handle streaming, errors, and rate limits.

3

Prompt Engineering for Developers

45 min

Advanced techniques: system prompts, function calling, structured output, and prompt chains.

4

Building an AI Chatbot

60 min

Full project: React frontend + Express backend + Claude API. Conversation history and context management.

5

RAG Fundamentals

50 min

Build a Retrieval-Augmented Generation system. Embeddings, vector databases, and document chunking.

6

Introduction to AI Agents

45 min

Understand agent architectures. Build a simple agent with tool use and decision-making loops.

7

Running Models Locally

35 min

Set up Ollama and llama.cpp. Run open-source models for development and testing.

8

Testing and Evaluating AI Systems

40 min

Evaluate LLM output quality. Set up automated testing for AI-powered features.

Other Learning Paths

Beginner Path

8 lessons · ~12h

Content Creator Path

7 lessons · ~10h

Automation Path

7 lessons · ~14h