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Swadha AI Labs
New AI skills

Autonomous Agentic AI & AI Systems Engineering

Learn to build, evaluate, and orchestrate autonomous AI agents. Master CrewAI, AutoGen, LangGraph, dynamic tool calling, multi-agent collaboration, memory persistence, and production vector databases.

Instructor: Swadha AI Core Engineering Team

тВ╣375

тВ╣500

25% OFF ┬╖ FIRST 500 ONLY
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Instant access to Live Swadha AI Labs & Certifications
6 Modules ┬╖ 48 Lessons ┬╖ 6 AI Swarm Projects
Earn a career credential that demonstrates your expertise
4.92 тШЕ
from 31,200 reviews of courses in this program
Intermediate to Advanced
Recommended experience
Flexible schedule
Self-paced with Swadha AI Sandbox
What you'll learn

Design multi-agent collaborative workflows where autonomous agents plan, execute, and self-correct

Implement advanced tool calling, OpenAPI integration, and secure sandbox code execution

Build production Retrieval-Augmented Generation (RAG) with hybrid search and vector databases

Deploy stateful agent memory using graph databases and Redis vector store


Skills you'll gain
Agentic AI Architecture
CrewAI & AutoGen
LangGraph State Machines
Tool Calling & Function Execution
Vector Databases (Pinecone/Milvus)
Production LLM Evaluation

Tools you'll learn
LangChain
CrewAI
LangGraph
Python
FastAPI
Pinecone
Ollama
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