★ 2026 Batch Open Taught by Vishal Kumar

Master Applied AI & Get Certified in 2026.

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.

  • ✓ 100% Practical & Code-First: Build production systems, not toy prompts.
  • ✓ Official Verifiable Digital Certificate: Delivered straight to your email.
  • ✓ 1:1 Mentorship by Vishal Kumar: Direct guidance and project reviews.
Directed by Vishal Kumar Lead AI Engineer • Production Systems Specialist
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Simple 4-Step Process

How to Get Your AI Certificate

Follow this clear, transparent roadmap to master practical AI engineering and earn your verified credential.

1

Fill the Form

Submit your name, email, and goals in the hero form above. It takes less than 30 seconds.

2

Receive Syllabus

Check your inbox for onboarding guides, Google Colab notebooks, and the full course roadmap.

3

Build Real Systems

Work through hands-on labs: fine-tune LLMs, deploy RAG pipelines, and build LangGraph agents.

4

Get Certificate on Email

Receive your verified digital certificate with a permanent credential ID and 1-click LinkedIn badge.

12-Week Syllabus

The Complete AI Engineering Roadmap

Designed for engineers who want to ship code into production. Every module includes practical labs and real-world architectures.

Module 01 • Weeks 1-2

Transformers & Attention Mechanics

Master the mathematical foundation of attention. Build self-attention and multi-head attention mechanisms from scratch in PyTorch.

PyTorch Attention CUDA Tokenization
Module 02 • Weeks 3-4

LLM Fine-Tuning (LoRA & QLoRA)

Fine-tune open-weight models (Llama 3, Mistral) for custom enterprise tasks using Parameter-Efficient Fine-Tuning and 4-bit quantization.

Unsloth PEFT Quantization vLLM
Module 03 • Weeks 5-6

Production RAG & Vector Databases

Engineer high-throughput, low-hallucination semantic search systems combining sparse BM25 with dense vector embeddings and re-rankers.

Pinecone Qdrant Hybrid Search LlamaIndex
Module 04 • Weeks 7-8

Autonomous Multi-Agent Swarms

Build stateful AI agent architectures using LangGraph and CrewAI capable of reasoning, calling external APIs, and querying databases.

LangGraph CrewAI Tool Calling State Machines
Module 05 • Weeks 9-10

AI Safety, Guardrails & Red-Teaming

Protect production systems against prompt injections, data leakage, and hallucinations using NeMo Guardrails and automated evaluation suites.

NeMo DeepEval Red-Teaming LangSmith
Module 06 • Weeks 11-12

Production Capstone & Defense

Deploy a containerized AI service to cloud infrastructure with Docker and FastAPI, then defend your architecture to earn certification.

Docker FastAPI Production Ray Serve
Why This Course Wins

How This Course Compares

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
Industry Tech Stack

Tools & Frameworks You Will Master

Work with the exact technologies used by top frontier AI companies.

PyTorch LangGraph Pinecone Qdrant Unsloth (LoRA/QLoRA) Hugging Face Transformers CrewAI Docker & FastAPI NeMo Guardrails vLLM DeepEval
Verifiable Credential

Your Official Certificate of Mastery

Your digital certificate is backed by an immutable credential ID and 1-click LinkedIn certification publishing.

Get Certificate
Global Institute of Applied Artificial Intelligence
CERTIFICATE OF MASTERY
This certifies that
Vishal Kumar

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.

CREDENTIAL ID
VK-AI-89412
ISSUED ON
September 7, 2026
OFFICIAL VERIFIED
Vishal Kumar
Program Director & Lead AI Instructor
Meet Your Instructor

Direct Mentorship from Vishal Kumar

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 →
Frequently Asked Questions

Everything You Need to Know

Clear details about receiving your certificate and what the course covers.

When you fill the form on the hero section, your submission is received and you will receive certificate on your email along with the complete syllabus, lab repository access, and verification credentials.
No. Submitting the form and accessing the introductory syllabus, hands-on lab roadmaps, and certification track is 100% free with no hidden charges.
This course is built for software engineers, product developers, tech leads, and curious problem solvers who want to move beyond surface-level ChatGPT prompts to building production-grade AI systems, LLMs, and autonomous workflows.
Basic familiarity with programming (preferably Python) is helpful. Vishal Kumar provides preparatory refresher notebooks on Python fundamentals and tensor operations before each module.
You should plan for 6 to 8 hours per week: focused concept walkthroughs, practical code builds, and 1:1 mentor check-ins designed to accommodate working professionals.
Yes, all certificates issued by Vishal Kumar include a permanent credential verification ID and 1-click publishing to your LinkedIn licenses & certifications section.
Vishal personally reviews all applications submitted through the website form and usually responds within 24 hours with syllabus details, schedule options, and next steps.
You will build an end-to-end production AI service (e.g. an autonomous software auditing agent, a financial RAG search engine, or a multi-agent research swarm) containerized with Docker and served via FastAPI.