Transformers & Attention Mechanics
Master the mathematical foundation of attention. Build self-attention and multi-head attention mechanisms from scratch in PyTorch.
A comprehensive, hands-on 12-week engineering course covering Transformer Attention, Open-Source LLM Fine-Tuning, Production RAG, and Autonomous Multi-Agent Systems. Guided directly by Vishal Kumar.
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Follow this clear, transparent roadmap to master practical AI engineering and earn your verified credential.
Submit your name, email, and goals in the hero form above. It takes less than 30 seconds.
Check your inbox for onboarding guides, Google Colab notebooks, and the full course roadmap.
Work through hands-on labs: fine-tune LLMs, deploy RAG pipelines, and build LangGraph agents.
Receive your verified digital certificate with a permanent credential ID and 1-click LinkedIn badge.
Designed for engineers who want to ship code into production. Every module includes practical labs and real-world architectures.
Master the mathematical foundation of attention. Build self-attention and multi-head attention mechanisms from scratch in PyTorch.
Fine-tune open-weight models (Llama 3, Mistral) for custom enterprise tasks using Parameter-Efficient Fine-Tuning and 4-bit quantization.
Engineer high-throughput, low-hallucination semantic search systems combining sparse BM25 with dense vector embeddings and re-rankers.
Build stateful AI agent architectures using LangGraph and CrewAI capable of reasoning, calling external APIs, and querying databases.
Protect production systems against prompt injections, data leakage, and hallucinations using NeMo Guardrails and automated evaluation suites.
Deploy a containerized AI service to cloud infrastructure with Docker and FastAPI, then defend your architecture to earn certification.
See why ambitious engineers choose Vishal Kumar's hands-on program over expensive universities and passive video courses.
| Feature / Benefit | Vishal Kumar AI Academy | Generic Video MOOCs | University Bootcamps |
|---|---|---|---|
| Curriculum Focus | Production RAG, LoRA, Agents | Basic ChatGPT Prompts | Dated Theory & Math |
| Direct Mentorship | 1:1 with Vishal Kumar | None (Passive Recordings) | Undergrad TAs only |
| Certificate Delivery | Direct on Your Email (Verifiable) | Locked behind paywall | Slow physical mail ($$$) |
| Hands-On Production Labs | 100% Practical Code | Multiple choice quizzes | Outdated homework |
| LinkedIn Integration | 1-Click Verifiable ID | Basic PDF | Manual submission |
Work with the exact technologies used by top frontier AI companies.
Your digital certificate is backed by an immutable credential ID and 1-click LinkedIn certification publishing.
Has successfully demonstrated technical mastery in Applied Artificial Intelligence, Large Language Model Fine-Tuning, Retrieval-Augmented Generation (RAG), and Autonomous Multi-Agent Swarms through hands-on code execution and defense.
Vishal Kumar is a seasoned AI Systems Engineer and educator committed to helping developers, engineering leaders, and data practitioners build production-grade AI solutions.
Having architected high-scale LLM pipelines, autonomous agent swarms, and vector retrieval backends, Vishal designed this program to eliminate fluff and focus 100% on the production engineering competencies demanded by modern tech companies.
Fill Form to Join Vishal's Cohort →Clear details about receiving your certificate and what the course covers.