Corporate AI training
Training that turns your team into builders.
Not lectures — bespoke, build-along programs where every class ships something real. Flagship n8n mastery, frontier-model fluency, and production AI agents — each ending in a system your team can deploy and sell.
- 10,000+
- Students trained
- 2,000+
- Sessions delivered
- 5.0
- Average rating
- 100%
- Build-along
The curriculum
One flagship program. Two deep courses. Built to deploy.
Specialize in one, or stack them into a full automation & AI practice — every track is tailored to your stack and your team's level.
Flagship program · Automation curriculum for high-ticket client delivery
The n8n Mastery Program
Go from zero to a client-ready practitioner who designs, deploys, and sells self-running automation systems.
Program overview
Take a complete beginner from zero to a deployable, client-ready n8n automation practitioner. Each track is a standalone course of ten 60-minute classes. Every class is build-along — students leave each session with a working workflow, not just theory. The three tracks are sequenced so a student can specialize, or stack all three to offer a full automation service.
How each class is structured
Learning objectives
The specific capabilities the student walks away with.
Hands-on project
A real workflow built live during the session.
Skills gained
The transferable, sellable skills added to their toolkit.
Why it lands high-ticket clients
Every track ends in a capstone where students assemble individual workflows into one productized system — with error handling, documentation, and a pricing model. They don't just learn nodes; they learn to ship a deliverable a business will pay a premium retainer for.
Explore the three tracks
30 classes · tap to expandBuild automated machines that find, enrich, and convert prospects on autopilot.
Who it's for
Founders, agency owners, SDRs, and freelancers who want a self-running pipeline of qualified leads.
By the end
Deploy a full lead-gen engine: scrape → enrich → score → personalize → multichannel outreach → CRM, running 24/7.
Learning objectives
- Install n8n (cloud + self-hosted Docker) and navigate the canvas, nodes, and executions log.
- Understand triggers, actions, and the data-item structure that flows between nodes.
- Map a lead-gen funnel into automatable stages before building anything.
Hands-on project
Stand up your own n8n instance and build a 3-node "Hello Lead" workflow that captures a webhook submission and logs it to a Google Sheet.
Skills gained
Course 02 · Claude · OpenAI · Gemini
LLM Tool Mastery & Orchestration
Master each frontier model — then route between them automatically.
Learning objective
Move beyond standard chat interfaces to master the unique infrastructural strengths, prompt mechanics, and architectural advantages of Claude, OpenAI, and Gemini.
Learning outcome
Build an intelligent routing protocol that evaluates a prompt's requirements — cost, speed, reasoning, context — and automatically dispatches it to the optimal AI model.
Core skills
Capstone build
The Tri-Model Router
A lightweight Python script or n8n workflow that routes coding queries to Claude, structured data extraction to OpenAI, and real-time video / web-search queries to Gemini.
The 10-class syllabus
Grouped by Model focusClaude
Infinite Context Mastery
Inject massive datasets and prompt for hyper-specific extraction without hallucination.
Claude
Artifacts & System Design
Use system prompts to generate interactive UI mockups and complex documents.
Claude
The “Nuance” Persona
Engineer prompts for high-EQ copy, creative writing, and deep analytical reasoning.
OpenAI
Strict Structured Outputs
Force the model to return perfect JSON schemas for seamless API integration.
OpenAI
Code Interpreter Logic
Automate raw data-science workflows, file manipulation, and chart generation.
OpenAI
Fine-Tuning vs. Few-Shot
Identify the exact threshold for training a custom model versus prompting.
Gemini
Native Multimodality
Process hour-long video files, audio streams, and complex images simultaneously.
Gemini
Real-Time Fact Grounding
Leverage deep Google Search integration to bypass knowledge cutoffs accurately.
Gemini
High-Velocity Workflows
Use Flash models for low-latency, high-volume classification tasks.
Orchestration
The Tri-Model Router
Build the evaluation layer that selects the best model per task dynamically.
Course 03 · LangGraph + MCP
AI Agents & Enterprise Frameworks
Stateful, multi-actor agent systems that act on real business data.
Learning objective
Transition from single-prompt interactions to designing stateful, multi-actor AI systems that autonomously navigate complex business environments.
Learning outcome
Deploy a multi-agent LangGraph system using the Model Context Protocol (MCP) to interact securely with local enterprise databases and solve a multi-step business problem.
Core skills
Capstone build
The Digital Board of Directors
A multi-agent framework where a “Researcher” agent gathers data via MCP, a “Critic” agent reviews it against business logic, and an “Executive” agent formats and emails the final resolution.
The 10-class syllabus
Grouped by Core conceptAgentic Theory
Breaking the Chat Paradigm
Design autonomous “Thought → Action → Observation” loops instead of prompt-responses.
LangChain Core
Chains vs. Agents
Understand the strict limits of sequential LLM operations versus dynamic routing.
LangGraph I
Nodes, Edges & State
Design your first directed graph for cyclical, non-linear AI reasoning.
LangGraph II
Multi-Actor Systems
Build a “Supervisor” node that delegates tasks to specialized “Worker” nodes.
Token Economy
Advanced State Management
Archive graph memory dynamically to prevent context overflow and runaway API costs.
Tool Creation
Executable Functions
Arm your agent with custom Python tools to read / write databases and execute code.
MCP Integration
Standardizing Connectivity
Use the Model Context Protocol to securely connect AI to local enterprise files.
MCP Servers
Exposing the Data
Build custom MCP servers that let any standard LLM client query your internal tools.
Framework Design
The “Issue Resolver” Pattern
Architect a generic framework that ingests an error, diagnoses it, and executes a fix.
Capstone
The Digital Board
Deploy a multi-agent network that uses MCP to read a P&L, find anomalies, and flag executives.
What learners say
10,000+ students taught. Here's how it feels.
Verbatim feedback from live cohorts — BrightChamps, CodeYoung, Code Muscle and Kalyanam Education.
“Sir is just an amazing buddy — best person with best skills. Even a class 1 student can learn from him. No doubts & no complaints.”
“The awesome teacher — lectures are clear and I understand each and every concept perfectly.”
“Everything is going great — the learning and the new skills we pick up in each session will be so helpful for our future careers.”
“I enjoyed the class so much. Thank you Vishal sir for making it engaging and easy to understand.”
“Sir's explanation is amazing — he solves all our doubts patiently and clearly.”
“Session was very nice. Sir explains everything nicely and in an easy way.”
Bespoke
Or we design a programme around your stack.
Every organisation is different. I build custom curricula around your tools, your real use cases, and your team's level — remote or on-site, one-off or cohort-based, combining any of the tracks above.
Let's scope it
Ready to upskill your team?
Book a call to discuss goals, audience, and format — I'll send a tailored proposal.