ARTIFICIAL INTELLIGENCE & LLMS · FLAGSHIP AIGenerative AI & Agentic Systems Engineering: Zero To Architect!
Generative AI & Agentic Systems Engineering: Zero To Architect!
starts here.
Learn to architect autonomous multi-agent systems, build enterprise RAG pipelines with vector databases, and fine-tune open-source foundation models using PyTorch, LangChain, LangGraph, and Hugging Face.
◷ 14 Weeks✦ Intermediate to Advanced★ 4.95 (8,120 ratings)👥 22,400+ learners
Next Cohort: September 18, 2026 · Career Outcome: AI Engineer / LLM Architect (₹14L – ₹28L PA)
GO TECH EDU ACADEMY✦
Make intelligence practical
✦ Avg 92% Salary Hike
THE EXPERIENCE
Go beyond the tutorial.
Step into the highest-paying domain in tech. Learn the mathematical fundamentals and production engineering of foundation models, autonomous agents with tool-calling loops, hybrid dense-sparse RAG systems, and parameter-efficient fine-tuning (PEFT/LoRA).
What You Will Master in This Program
Master Transformer architectures, attention mechanisms, and prompt optimization techniques.
Build Enterprise Hybrid RAG (Dense + Sparse Vector Search) with ChromaDB and Cohere re-rankers.
Orchestrate stateful autonomous multi-agent swarms with LangGraph and human-in-the-loop controls.
Fine-tune open-source LLMs (Llama-3, Mistral) using 4-bit QLoRA on cloud GPUs.
Deploy scalable FastAPI inference endpoints with streaming responses and observability.
Technologies & Libraries Covered
Python 3.12PyTorchLangChainLangGraphLlamaIndexChromaDBFastAPIHugging FaceDocker
Detailed Curriculum & Modules
110+ Hours of guided live lecturesTransformers Internals: Self-Attention & Embeddings
50 MinPreview
Structured Outputs with Pydantic & JSON Schemas
45 MinPreview
Lab: Automated Contract Analysis & Legal Parsing Agent
80 Min
Your Lead Instructors & Mentors
DR
Dr. Vikram Sharma
Head of AI Research & Solutions
Dr. Vikram leads generative AI and agentic workflow engineering at GoTechEdu, specializing in enterprise RAG vector retrieval and foundation model fine-tuning.