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

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Introduction to Data Science

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Data Collection and Cleaning

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Data Exploration and Visualization

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Data Manipulation and Analysis

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Machine Learning Basics

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Supervised Learning Algorithms

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Unsupervised Learning Algorithms

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Model Selection and Evaluation

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Natural Language Processing (NLP)

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Time Series Analysis

AI Navigator console backdrop
DeveLearn · AI Navigator

Chart your path through Generative AI.

Train for
Prompt Engineer

Mission-control training for professionals who want to ship with LLMs — not just chat with them. Mumbai labs + live online cohorts.

Start navigating

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

Where are you headed?

Pick a navigator track — your form submissions carry this as Track.

What you'll master

A constellation of skills — not a checklist dump.

Prompt systems

Roles, CoT, few-shot, structured outputs, and revision loops.

Multimodal studio

Image, video, and audio tools for marketing and product work.

Knowledge + RAG

Ground models in your docs so answers stay accurate.

Agents

Tool-using assistants that research, draft, and coordinate.

Automation

Connect LLMs to real workflows with n8n and APIs.

Eval mindset

Test quality, catch hallucinations, measure usefulness.

Ship & portfolio

Publish 2–3 demos hiring managers can click.

Responsible AI

Privacy, bias, citation, and brand-safe usage.

The Build Loop

Five cinematic steps from foundations to portfolio.

Foundations
STEP 01

Foundations

LLM literacy, tokens, context, temperature, and failure modes.

Prompt
STEP 02

Prompt

Design reusable prompt systems for reliable outputs.

Multimodal
STEP 03

Multimodal

Combine text, image, and video tools into creative pipelines.

RAG and Agents
STEP 04

RAG & Agents

Retrieve knowledge and orchestrate tool-using agents.

Ship
STEP 05

Ship

Package demos, writeups, and interview stories.

Lab gallery

Screens from missions students build during the program.

Research co-pilot

Research co-pilot

Cited answers over a knowledge base

Brand content studio

Brand content studio

Prompt stacks for campaigns

Support agent

Support agent desk

Tool-calling triage assistant

Moodboards

Multimodal moodboards

Image + copy sync workflows

Automation

Automation map

n8n flows with LLM nodes

Eval dashboard

Eval dashboard

Score outputs before you ship

Portfolio

Portfolio storyboard

Case studies that stick

Ops control

Ops control room

Monitor prompts in production

Toolbelt orbit

The stack you'll touch across missions.

Curriculum missions

Six modules. Clear outcomes. Portfolio at the end.

How LLMs actually workContext windows & failure modesChoosing models for tasksSafety & citation basics

Outcomes that move careers

Roles Indian teams are hiring for now.

Prompt Engineer

Design reliable prompt systems for product and marketing teams.

AI Content Lead

Own GenAI content pipelines with brand voice and QA.

Automation Specialist

Connect LLMs to ops workflows and cut busywork.

AI Product Associate

Help ship AI features with clear specs and evals.

RAG Builder (intro)

Prototype grounded assistants over company knowledge.

AI Ops

Monitor prompts, costs, and quality in production.

AI Navigator certificate

Mission logs

What navigators say after shipping their first demos.

I stopped random prompting and started building systems our team actually reuses.

Ananya R.

Marketing → AI Content

The RAG lab finally made grounded answers click — and I can demo it in interviews.

Rahul M.

Analyst → Builder track

n8n + agents cut our weekly report grind. Mentors kept us shipping.

Priya S.

Ops → Automation

Portfolio reviews were ruthless in the best way. I had clickable work.

Imran K.

Fresher → Prompt systems

Launch pad

Ready to navigate? Book a counselling call or drop questions — we'll map your track.

  • Track mapping for Creator / Operator / Builder
  • Batch timings — Mumbai + live online
  • Curriculum PDF + fee counselling

FAQ

No. AI Navigator is a professional Generative AI upskilling program focused on tools, prompting, RAG, agents, and portfolio demos — not a degree.

Talk to a navigator guide

We'll help you pick Creator, Operator, or Builder.

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