Build · Learn · Deploy
AI Generalist Program
Learn by Doing: Create Real Impact. A 12 weeks program to move from prompt engineering to building real-world AI systems, workflows, and deployed products.

Three Pillars of Mastery
Moving beyond the superficial. We focus on the fundamental structural layers required to master the modern strategic environment.
Learn
AI foundations, GenAI, LLMs, workflows vs tasks, and structured prompting — the builder mindset from the brochure.
Use
Choose the right tools (ChatGPT, Claude, Cursor, n8n, Make, and more), combine them into workflows, and automate real business use cases.
Build
Ship APIs, RAG systems, agents, and a capstone MVP — then deploy, package your portfolio, and get placement-ready.
The 12 Weeks Roadmap
Weeks 1-2: AI Foundations & Prompt Engineering
Master the builder mindset. Learn LLM behaviors, workflows vs tasks, structured prompting, chain prompting, and prompt debugging.
Output: Personal prompt library (20+ prompts) & 3 prompt systems
Challenge: Break down 2 real-world use-cases and build custom prompting workflows
Weeks 3-4: Tools & Automation Stack
Select the right tools for the job. Connect multiple AI APIs and build workflows using n8n and Make.
Output: 1 business automation pipeline & 1 personal system
Challenge: Build an end-to-end trigger-action automated WhatsApp notification flow
Weeks 5-6: AI Apps, MVP Design & APIs
Understand the structure of AI products. Master MVP thinking, design UI/UX for AI apps, and connect models via APIs.
Output: Functional API-powered utility & interactive interface prototype
Challenge: Write a script connecting an LLM API to output structured JSON data
Weeks 7-8: Data, RAG Systems & Systems Integration
Work with real CSV, Docx, and PDF data. Build RAG (Retrieval-Augmented Generation) knowledge assistants and test response accuracy.
Output: Custom RAG knowledge assistant & fully integrated system
Challenge: Build a custom domain knowledge assistant with structured documents
Weeks 9-10: AI Agents, MCP & App Deployment
Introduction to Agentic workflows (memory, planning, tools). Set up Model Context Protocol (MCP) and deploy apps to Vercel/Railway.
Output: Deployed AI agent & live public project link
Challenge: Deploy a production-ready AI tool and test it with real users
Weeks 11-12: Capstone Sprint & Career Positioning
Build, polish, and deploy your final capstone project. Package your portfolio, GitHub, LinkedIn, and optimize your resume for ATS tracking.
Output: Completed Capstone MVP & optimized placement assets
Challenge: Present your Capstone case study on Demo Day to recruiters
Program Curriculum
Structured learning from foundations and prompting through tools, automation, APIs, RAG, agents, deployment, and career positioning — aligned with the official brochure.
Weeks 1-2
AI Foundations & Prompt Engineering
Master the builder mindset. Learn LLM behaviors, workflows vs tasks, structured prompting, chain prompting, and prompt debugging.
Weeks 3-4
Tools & Automation Stack
Select the right tools for the job. Connect multiple AI APIs and build workflows using n8n and Make.
Weeks 5-6
AI Apps, MVP Design & APIs
Understand the structure of AI products. Master MVP thinking, design UI/UX for AI apps, and connect models via APIs.
Weeks 7-8
Data, RAG Systems & Systems Integration
Work with real CSV, Docx, and PDF data. Build RAG (Retrieval-Augmented Generation) knowledge assistants and test response accuracy.
Weeks 9-10
AI Agents, MCP & App Deployment
Introduction to Agentic workflows (memory, planning, tools). Set up Model Context Protocol (MCP) and deploy apps to Vercel/Railway.
Weeks 11-12
Capstone Sprint & Career Positioning
Build, polish, and deploy your final capstone project. Package your portfolio, GitHub, LinkedIn, and optimize your resume for ATS tracking.
Tools You Will Use
The same builder stack highlighted in the program brochure — from coding assistants to automation and deployment.
Career & Placement Support
Turn your skills into real opportunities — Analytics Placement System, company simulations, and interview readiness from the brochure.
- ✓12 Weeks of structured learning, assignments & capstone project
- ✓Analytics Placement System with 50+ company simulation tests
- ✓ATS-Optimized resume creation & LinkedIn profile makeover
- ✓Weekly live mentoring, doubt sessions & mock interviews
- ✓Startup Pod Internship Experience working with founders
- ✓Lifetime community access & daily WhatsApp news updates
You don't get hired because you learned AI. You get hired because you can use it.
The Execution Commitment
This is not just a course — it is long-term access to the AIValytics ecosystem. Selection-based entry with limited seats per cohort.
Program Highlights
- check12 Weeks of structured learning, assignments & capstone project
- checkAnalytics Placement System with 50+ company simulation tests
- checkATS-Optimized resume creation & LinkedIn profile makeover
- checkWeekly live mentoring, doubt sessions & mock interviews
- checkStartup Pod Internship Experience working with founders
- checkLifetime community access & daily WhatsApp news updates
Secure Your
Execution Slot.
AIValytics — Empowering operators for the AI Century.
To complete your registration and secure your slot, please proceed to our secure checkout page.
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