STEP 01Foundations
LLM literacy, tokens, context, temperature, and failure modes.
Data Science
Data science is an interdisciplinary field that utilizes scientific methods, algorithms, and systems to analyze and interpret complex data, combining computer science, statistics, mathematics, and domain expertise.
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Topics to be covered
Introduction to Data Science
Data Collection and Cleaning
Data Exploration and Visualization
Data Manipulation and Analysis
Machine Learning Basics
Supervised Learning Algorithms
Unsupervised Learning Algorithms
Model Selection and Evaluation
Natural Language Processing (NLP)
Time Series Analysis

Mission-control training for professionals who want to ship with LLMs — not just chat with them. Mumbai labs + live online cohorts.
Tell us where you are — we'll map the right track.
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Hands-on missions
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AI tools covered
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Career-ready tracks
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Live mentor guidance
Pick a navigator track — your form submissions carry this as Track.

A constellation of skills — not a checklist dump.
Roles, CoT, few-shot, structured outputs, and revision loops.
Image, video, and audio tools for marketing and product work.
Ground models in your docs so answers stay accurate.
Tool-using assistants that research, draft, and coordinate.
Connect LLMs to real workflows with n8n and APIs.
Test quality, catch hallucinations, measure usefulness.
Publish 2–3 demos hiring managers can click.
Privacy, bias, citation, and brand-safe usage.
Five cinematic steps from foundations to portfolio.
STEP 01LLM literacy, tokens, context, temperature, and failure modes.
STEP 02Design reusable prompt systems for reliable outputs.
STEP 03Combine text, image, and video tools into creative pipelines.
STEP 04Retrieve knowledge and orchestrate tool-using agents.
STEP 05Package demos, writeups, and interview stories.
Screens from missions students build during the program.

Cited answers over a knowledge base

Prompt stacks for campaigns

Tool-calling triage assistant

Image + copy sync workflows

n8n flows with LLM nodes

Score outputs before you ship

Case studies that stick

Monitor prompts in production
The stack you'll touch across missions.
Six modules. Clear outcomes. Portfolio at the end.
Roles Indian teams are hiring for now.
Design reliable prompt systems for product and marketing teams.
Own GenAI content pipelines with brand voice and QA.
Connect LLMs to ops workflows and cut busywork.
Help ship AI features with clear specs and evals.
Prototype grounded assistants over company knowledge.
Monitor prompts, costs, and quality in production.

What navigators say after shipping their first demos.
“I stopped random prompting and started building systems our team actually reuses.”
“The RAG lab finally made grounded answers click — and I can demo it in interviews.”
“n8n + agents cut our weekly report grind. Mentors kept us shipping.”
“Portfolio reviews were ruthless in the best way. I had clickable work.”
Ready to navigate? Book a counselling call or drop questions — we'll map your track.
No. AI Navigator is a professional Generative AI upskilling program focused on tools, prompting, RAG, agents, and portfolio demos — not a degree.
We'll help you pick Creator, Operator, or Builder.
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