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Artificial Intelligence & Automation

4.9 (4.5k Ratings)
12 Weeks
Karthik Chidambaram
Salem Campus

Course Overview

Welcome to the forefront of the technological revolution. This highly specialized 12-week course teaches you how to construct, secure, and deploy generative AI applications and multi-agent pipelines. Using cutting-edge tools like LangChain, CrewAI, AutoGen, and OpenAI APIs, you will build autonomous agents capable of resolving real-world business logic challenges.

An absolute must-have curriculum for Salem programmers and system engineers seeking to master generative systems and capture highly compensated AI engineer tracks.

Curriculum Timeline

Module 1: Python for AI & Data Pipelines

Perfect core data operations inside Python. Master NumPy, Pandas, file stream APIs, data cleaning, and asynchronous prompt execution.

Module 2: LLM API Integration & Prompting

Connect secure OpenAI, Anthropic, and open-source local LLMs (Ollama). Learn advanced few-shot prompting, schema outputs, and token optimizations.

Module 3: Retrieval-Augmented Generation (RAG)

Structure document chunks, build embeddings using vector databases (ChromaDB, Pinecone), and execute secure context searches.

Module 4: LangChain & Tool Calling

Architect state chains, handle dynamic memory loops, and bind standard external tool executors (web search, calculators, database querying).

Module 5: Multi-Agent Architectures (CrewAI & AutoGen)

Create autonomous teams of digital agents. Assign distinct expert roles, design collaborative team goals, and monitor multi-tier agent negotiations.

Module 6: Business Automations & Triggers

Construct complex WhatsApp automated answering bots, connect n8n workflow triggers, and launch secure AI agent endpoints on cloud servers.

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