AI Automation & GenAI Workflow Engineering

Program Overview

Move beyond basic API calls and prompt engineering. This comprehensive program teaches you to architect, test, and deploy production-grade Generative AI workflows, autonomous agent swarms, vector search retrieval systems, and end-to-end business automation pipelines that power the next wave of intelligent tech.

What You Will Master:

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Architect production RAG (Retrieval-Augmented Generation) pipelines with hybrid search & vector re-ranking

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Build multi-agent autonomous swarms using LangGraph, CrewAI, and AutoGen for complex multi-step workflows

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Fine-tune open-source LLMs (Llama 3, Mistral, DeepSeek) using LoRA, QLoRA, and instruction datasets

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Deploy low-latency LLM inference backends with FastAPI, vLLM, Docker, and streaming SSE endpoints

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Implement enterprise security guardrails, red-teaming, and Ragas automated quality evaluation benchmarks

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Automate real business workflows integrating web scrapers, REST APIs, databases, and LLM reasoning

Industry-Aligned Curriculum

Designed with tech leads to bridge theory with real enterprise engineering demands.

5 Modules • 12 Weeks Structured Track • Hands-On Live Coding Labs

01 Foundations of GenAI, Transformers & Advanced Prompting

Weeks 1-2

Transformer architectures: Self-attention, encoders, decoders, and token embeddings
Context windows, token economics, cost modeling, and latency optimization
Chain-of-Thought (CoT), Tree-of-Thought, ReAct framework, and few-shot calibration
Function calling, tools binding, and guaranteed structured JSON outputs

02 Vector Databases, Dense Embeddings & Production RAG

Weeks 3-5

High-dimensional embeddings: text-embedding-3, BGE, and sentence transformers
Vector stores comparison: ChromaDB, Pinecone, Milvus, and pgvector
Chunking strategies: Recursive, semantic, token-based, and sliding window chunking
Hybrid search (Dense vector + BM25 keyword) & Cross-Encoder re-ranking
Evaluating retrieval quality & faithfulness using Ragas benchmarks

03 Autonomous Multi-Agent Frameworks (LangGraph & CrewAI)

Weeks 6-8

Stateful agent graphs, cyclical logic, and checkpointing with LangGraph
CrewAI hierarchical roles, manager agents, task delegation, and memory
Custom tool execution: SQL query generation, Python sandboxing, and web browsing
Human-in-the-loop approval gates, state rollback, and error recovery

04 Open Source Models, Quantization & Fine-Tuning (PEFT/LoRA)

Weeks 9-10

Hosting local open-source models with Ollama, llama.cpp, and vLLM
Quantization formats: GGUF, AWQ, EXL2, and 4-bit/8-bit precision tradeoffs
Dataset preparation, synthetic generation, and cleaning pipelines
Parameter-Efficient Fine-Tuning (PEFT), LoRA adapters, and Axolotl / Unsloth

05 Production Deployment, MLOps & Capstone Defense

Weeks 11-12

Streaming server-sent events (SSE) and WebSockets with FastAPI
Caching strategies with Redis, rate limiting, and cost controls
Docker containerization, AWS ECS/EC2 deployment, and CI/CD pipelines
Final capstone demo presentation, code review, and career placement coaching

Production Capstone Projects

Build verified GitHub repository projects to showcase in your portfolio and resume.

Enterprise Project

Autonomous Multi-Agent Customer Support Swarm

A synchronized team of autonomous agents that inspect incoming tickets, verify user history in PostgreSQL, retrieve documentation via vector search, and draft/execute resolutions autonomously with human-in-the-loop validation.

Production RAG

Financial & Legal Document Intelligence Engine

A high-throughput semantic search and analysis system handling 100,000+ complex PDF reports with table extraction, cross-encoder re-ranking, and verifiable source citations.

Autonomous Workflow

Market Signal & Competitor Intelligence Bot

Automated workflow that monitors industry news, parses regulatory filings, extracts structured key metrics, and delivers executive summaries directly into Slack & Notion.

Technologies & Tools You Will Use

Practical mastery on the modern tech stacks demanded by high-growth startups and tech giants.

Python OpenAI API LangChain LangGraph CrewAI LlamaIndex ChromaDB Pinecone Hugging Face FastAPI Docker Ollama

Learn from Industry Veteran

Live mentorship and code reviews from practitioners who have shipped software at scale.

Rahul Sharma

Principal AI Architect & Ex-FAANG Lead

12+ years of engineering leadership at high-growth tech companies. Trained over 4,000 engineers in GenAI and modern deep learning systems.

Career Outcomes & Placement Support

Comprehensive career guidance from Day 1 to land competitive tech roles.

Target Roles You Qualify For:

🎓 AI Automation Engineer 🎓 Generative AI Developer 🎓 LLM Solutions Architect 🎓 AI Workflow Consultant

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Resume & LinkedIn Review by hiring managers

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1-on-1 Mock Technical & Behavioral Interviews

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Direct Placement Referrals to 500+ Partner Companies

Frequently Asked Questions

Got questions about admissions, batch schedules, or refunds? Here are quick answers.

Who is eligible to join this course?

College students, fresh graduates, and working professionals looking to upskill or transition into high-paying tech careers are all eligible. Basic familiarity with computer operations is sufficient; foundational concepts are thoroughly taught in the initial modules.

What happens if I miss a live class?

All live lectures are recorded in high-definition and uploaded to your student portal within 2 hours. You retain lifetime access to recordings, lecture slides, code repositories, and batch discussion forums.

How does the monthly EMI payment work?

We offer flexible zero-cost and low-cost monthly EMI options starting at just ₹2,083 / month. You can split the tuition without financial stress and focus 100% on learning.

Will I receive a recognized certificate?

Yes! Upon completing the syllabus and submitting the required capstone projects, you will receive an industry-recognized Certificate of Completion from Talvion IT Academy with a verifiable credential ID for LinkedIn.