For freshers · Zero coding background

Your AI career starts here.

From zero to a hireable analyst in four months.

4 months · Weekends / Weekdays · Offline / Online

4 months, fully hands-on
No coding background needed
Real SQL, Power BI & a portfolio
Small batches · 1:15 ratio

TOP 10AI ACADEMYIN INDIA

4.9/5 · 345 Google reviews

NO CODE? NO PROBLEMYOUR DEGREE IS YOUR STARTBUILD REAL AI PROJECTSSHOW WHAT YOU CAN DO

The opportunity

The opportunity, in numbers

You are not late to AI. You are early. Here is what the data says about AI and analytics careers in India right now.

1 million+AI professionals India needs by 2027, and it has fewer than half that today.NASSCOM-Deloitte

~16%of Indian IT professionals are AI-skilled so far. That gap is your opening.MeitY / NASSCOM

No.1AI and big data is the fastest-growing skill in the world through 2030.WEF Future of Jobs 2025

+56%more pay, on average, for people with AI skills than peers without them.PwC 2025 AI Jobs Barometer

The demand is real, skilled people are scarce, and the door is open right now.

Figures are indicative market data from public sources, not outcomes we promise.

Hiring in 2026

An AI course built the way companies actually hire in 2026

Companies stopped hiring on certificates alone. They hire people who can open a laptop and show the work. That is what this course is built to give you: real screened skills, a portfolio, and the AI-augmented workflow teams now use.

Real SQL and Power BI, the skills that clear the screening filters
A portfolio project recruiters can actually open
An AI-augmented way of working that fits modern teams

86%of employers expect AI to reshape their business by 2030. They're hiring for it now.WEF Future of Jobs 2025

Start your AI Career

Book a free demo and we'll walk you through it. No pressure.

Who it's for

Built for freshers with zero coding background

If any of these sound like you, you are exactly who this course is for. You start from the very basics, with a mentor close by.

BlueTick students collaborating in a co-working space

A BlueTick student studying with laptop and notebook

A BlueTick student learning with AI tools

BBA / MBA graduates

You have a business degree and want a first job that pays for real, in-demand skills.

B.Com / M.Com graduates

You are comfortable with numbers and ready to turn that into a career in data.

Non-CS B.Tech / M.Tech

You have an engineering degree but not in computer science, and you want into AI and analytics.

Any graduate, starting fresh

You have never written a line of code. Good. This course is designed for exactly that starting point.

No maths degree, no coding, no experience needed. Just the drive to start.

No coding needed

No programming. Just you and your AI co-pilot.

This is built for freshers with zero coding background, and it stays that way. You will not do any software programming or build apps. The one technical skill you learn is SQL, a simple, readable way to ask questions of data, and you learn it from the very first query with AI helping you at every step.

No software development

No Python, no app-building, no engineering. That is a different path, and it is not this one.

SQL, made approachable

SQL is taught from zero. AI helps you write it, and you learn to read, run and check every query yourself.

A mentor an arm's length away

With just 15 learners to a mentor, your doubts get cleared on the spot, not left for later.

80%of professionals say AI tools have already helped their careers.2025 industry survey

And here's the reassuring part: most of India's AI jobs are applied roles that use AI tools, not build them from scratch. That is exactly the work this course prepares you for.

You bring the curiosity. AI and your mentor handle the rest.

Taken seriously

Why a BlueTick portfolio gets you hired

Freshers get overlooked when they have only a certificate. Here's what makes a BlueTick graduate different in the eyes of a hiring team.

You can do the work, not just talk about it.

You finish with a real analyst project: cleaned data, SQL analysis and a Power BI dashboard. A recruiter can open it and see what you can do on Day 1.

You already work the AI-augmented way.

Companies are moving to AI-assisted analysis. You learn that workflow from the start, so you fit the way teams actually work in 2026.

You're genuinely job-ready, not just certified.

With 15 learners to a mentor, you get the attention to build real skill, an ATS-ready resume, and interview practice before it counts.

63%of employers name the skills gap as their single biggest barrier. You are the person who closes it.WEF Future of Jobs 2025

For 9+ years BlueTick has trained 10,000+ professionals, who now build careers at companies like Amazon, Flipkart, EY, IBM and more.

Institution-level track record across all our programs.

What gets you hired

The exact skills employers screen for

Analyst job posts don't ask for buzzwords. They ask for the same few things again and again. This course teaches them, hands-on, on the same real tools the industry uses.

~78%

of data-analyst job posts ask for SQL. It is non-negotiable, and you learn it from scratch here.

~72%

of data-analyst job posts screen for Power BI. You build real dashboards here.

Excel shows up in about half of analyst posts too, and you cover it on Day 1. Add Python later and the market pays around 28% more again.

Source: LinkedIn, 365 Data Science, Glassdoor and AmbitionBox, 2025-26.

Your hard skills

Where you build real analyst skills

An 8-session Data Analyst block takes you from a messy spreadsheet to a working dashboard and a hireable skillset. AI speeds you up. It never does the thinking for you.

Clean real, messy data
Excel and Power Query, the beginner-friendly way to import, clean and shape data. You clean a real messy CSV end-to-end.
SQL, from the very first query
Three focused sessions take you from SELECT and JOINs to aggregations and window functions, with AI as your co-pilot. SQL is taught in full, never waved away.
Build dashboards in Power BI
Data models, DAX measures, slicers and drill-through. You build an interactive dashboard from your own SQL results.
AI-augmented analysis
The real-world loop: AI drafts, you verify, you turn numbers into a clear insight brief. Every figure checked in SQL or Power BI.

The honest part

Here's the honest part: AI helps you write SQL faster, but you learn to read, run and verify every query yourself. That is exactly what employers want. Someone who can use AI and check its work.

The comparison

BlueTick vs a typical online AI course

Most learners come to us after a recorded, watch-alone course didn't get them anywhere. Here's what's different with BlueTick.

Format

Recorded videos or online-only sessions.

Offline classes at our Indiranagar campus, or the same live class online.

Who teaches

One mentor for everything, or full-time professors.

9 industry AI experts, a different expert for each part of the course.

Curriculum

An old data-science syllabus with a little AI added on top.

Latest Gen AI, plus real analyst skills like SQL and Power BI.

Projects

Small demo projects that never leave your laptop.

A real portfolio project on GitHub or Notion that recruiters can open.

Batch size

Large batches where you're just one more sign-up.

Small batches, only 15 learners to one mentor.

Doubts & support

Post in a forum and wait, if someone replies at all.

Ask your mentor on the spot and move ahead in the same session.

After the course

It ends the day the videos end.

Personal career support: portfolio reviews, mock interviews and referrals, for as long as you need it.

Fees

Often ₹1 lakh or more.

Transparent fees with easy, no-cost EMI.

You'll feel the BlueTick difference in your very first class.

The curriculum

23 modules. 4 months. Zero coding.

The full fresher path. First the data-analyst hard skills employers screen for — Excel, SQL and Power BI — then the same AI curriculum our working professionals take. Every module hands-on and built on real work.

4 months. Weekend or weekday batch. Offline in Indiranagar or the same live session online.

M11 / 23
Data Foundations: Excel, Power Query & Data Cleaning (AI-assisted)
Data Analyst · Foundations
- Pivot tables and lookups (XLOOKUP / VLOOKUP)
- Power Query as the non-coder's ETL: import, clean, transform, merge
- Cleaning discipline: nulls, duplicates, types, outliers
- AI-accelerated cleaning; granularity, keys, wide vs long
Tools and frameworks
- Excel / Sheets
- Power Query
- ChatGPT
- Claude
Hands-On
A messy real CSV cleaned end-to-end in Power Query + a 5-step cleaning log
M22 / 23
SQL for Analysts I — Querying & Joins (AI as your SQL co-pilot)
Data Analyst · SQL
- Why SQL is non-negotiable (~82% of analyst postings)
- Tables, keys and granularity
- SELECT / WHERE / ORDER BY / DISTINCT
- INNER and LEFT JOIN
- AI as SQL co-pilot: read, run, VERIFY
Tools and frameworks
- PostgreSQL
- SQLite Online
Hands-On
10 business questions answered with SELECT + JOIN; 3 AI-generated then manually verified
M33 / 23
SQL for Analysts II — Aggregations, Subqueries & Window Functions
Data Analyst · SQL
- GROUP BY and HAVING
- CTEs and subqueries
- Window functions: RANK, running totals
- CASE logic; top-N, cohort and month-over-month patterns
Tools and frameworks
- PostgreSQL
- SQLite Online
Hands-On
A 6-question SQL case study (including window and cohort analysis)
M44 / 23
SQL for Analysts III — Advanced Practice & Debugging
Data Analyst · SQL
- Complex multi-table queries
- Performance and readability
- AI-assisted debugging: paste error → fix → understand why
- Interview-style query drills
Tools and frameworks
- PostgreSQL
- SQLite Online
Hands-On
A timed SQL drill set; a clean result set exported to feed the Power BI dashboard
M55 / 23
Power BI — Data Model, DAX Basics & Dashboard Build
Data Analyst · Power BI
- Why Power BI (~72% of analyst postings); the PL-300 track
- Get and transform; relationships / simple star schema
- DAX measures; slicers and drill-through
- Dashboard design; Copilot
Tools and frameworks
- Power BI Desktop (free)
Hands-On
An end-to-end interactive dashboard started from the SQL result set
M66 / 23
Power BI — Dashboards Part 2 & AI-Augmented Analytics
Data Analyst · Power BI
- Finish the dashboard: 2+ measures, slicers, drill-through
- The AI-augmented analyst loop: AI-draft → human verify → insight → narrative
- Automated EDA
- An AI-output verification checklist
Tools and frameworks
- Power BI Desktop (free)
Hands-On
A completed dashboard + a 1-page Insight Brief with every number SQL/PBI-verified
M77 / 23
Hands-On Project
Data Analyst · Portfolio
- End-to-end analyst project: cleaned data → SQL analysis → Power BI dashboard → AI-augmented, verified insight brief
- Case-study structure
- GitHub / Notion hosting
Tools and frameworks
- SQL
- Power BI
- GitHub
- Notion
Hands-On
A complete portfolio project published to GitHub / Notion
M88 / 23
Hands-On Project Demo + Interview Prep
Data Analyst · Portfolio
- Portfolio walkthrough: a 3-minute story
- Mock SQL round
- Case interview: "investigate a 20% drop"
- ATS resume mapped to the skills recruiters screen for
Tools and frameworks
- Interview practice
- ATS resume
Hands-On
A presented portfolio; 1 mock SQL round + 1 case interview, with feedback
M99 / 23
AI Overview & GenAI Introduction
AI Fundamentals
- AI types in plain English: ML, DL, GenAI, Predictive
- Descriptive → Predictive → Prescriptive → Cognitive
- The top 10 repeatable AI patterns for business
- The "AI is a co-pilot, not a replacement" mindset
Tools and frameworks
- ChatGPT
- Claude
Hands-On
An AI-maturity check of your own org + 3 business problems mapped to AI patterns
M1010 / 23
Prompting Masterclass & Output Evaluation
AI Fundamentals
- The RCTFC framework: Role · Context · Task · Format · Constraints
- Chain, few-shot and negative prompting
- Structured outputs you can reuse
- Hallucination spotting: test → refine → lock
Tools and frameworks
- ChatGPT
- Claude
Hands-On
A 10-prompt library for your own function + an output-evaluation checklist
M1111 / 23
AI Agents, RAG & Your First Automation
AI Fundamentals
- What AI agents and RAG really are — in plain English
- Evaluating a RAG output for accuracy and hallucination
- Claude MCP demo (calendar / files)
- Automation landscape: n8n vs Zapier vs Make
- Live build: Form → AI → Gmail
Tools and frameworks
- Claude + MCP
- ChatGPT GPTs
- n8n
Hands-On
One end-to-end automation + an ROI worksheet in ₹/week
M1212 / 23
Design Thinking for AI Products
AI Solution Development
- Why design matters for AI: uncertainty, opacity, trust
- Designing for ambiguity and graceful degradation
- Confidence indicators, feedback loops and human override
- Responsible AI: bias and privacy
Tools and frameworks
- ChatGPT
- Claude
- Miro / FigJam
Hands-On
A redesigned AI feature with a responsible-AI checklist
M1313 / 23
UI Mockup & Rapid Prototyping with AI
AI Solution Development
- The rapid-prototyping mindset: build → test → iterate
- Plain English → a working UI
- Lovable vs v0.dev, and knowing when to stop
- Deploy your tool to a live URL
Tools and frameworks
- Lovable
- v0.dev
- ChatGPT / Claude
Hands-On
A working tool, live on the internet, with your name on it
M1414 / 23
Workflow Automation Lab with n8n
AI Solution Development
- Multi-step workflows and branching conditions
- Error handling and failure modes
- Adapting templates to your real use case
- Writing a non-technical runbook
Tools and frameworks
- n8n
- Google Forms
- Gmail
Hands-On
A second, more complex automation from your own role + a 1-page runbook
M1515 / 23
AI Analytics & Decision Making
AI Solution Development
- Conversational analytics: question your data in plain English
- Text-to-SQL, with no coding
- AI narratives and executive summaries
- Power BI Copilot vs Julius vs ChatGPT
- Data storytelling → a stakeholder deck and live dashboard
Tools and frameworks
- Julius AI
- Power BI Copilot
- Looker Studio
- Claude
- ChatGPT
Hands-On
An AI Insight Brief → 3-slide stakeholder deck → live dashboard
M1616 / 23
AI for Supply Chain, Logistics & Operations
AI Solution Development
- Demand-planning summaries
- Supplier communication and procurement briefs
- Incident and shift-handover notes
- Where AI adds risk in operations
Tools and frameworks
- Claude
- ChatGPT
Hands-On
A demand summary, a supplier exception email, 1 ops SOP + 3 scored use cases
M1717 / 23
IDE Agents for Non-Developers
AI Solution Development
- What Claude Code and GitHub Copilot actually do
- Markdown / document-as-code for business users
- When an IDE agent helps — and its realistic limits
Tools and frameworks
- Claude Code
- GitHub Copilot
- VS Code
Hands-On
A script or structured document from an IDE agent + notes on where it helped vs failed
M1818 / 23
AI for Research, Communication & Content
AI for Business Impact
- NotebookLM: turn PDFs into Q&A and audio
- Perplexity: research with citations and source verification
- Gamma for slide outlines
- Your own "AI in My Workday" stack
Tools and frameworks
- NotebookLM
- Perplexity
- Gamma
- ChatGPT
- Claude
Hands-On
A 1-page AI Research Brief + a rewritten email + a LinkedIn post + your daily AI routine
M1919 / 23
Claude Cowork · Your Agentic Desktop Assistant
AI for Business Impact · The wow session
- Hand off a real task → watch autonomous execution → review
- Human-in-the-loop checkpoints and clear guardrails
- Build a fuller multi-step Cowork workflow
- What to delegate vs what still needs your judgment
Tools and frameworks
- Claude Cowork (desktop)
- Claude
Hands-On
A multi-step Cowork workflow from your own role + a review checklist
M2020 / 23
AI Evaluation & Metrics
AI for Business Impact
- Why metrics matter; defining a baseline
- The 3-tier framework: Model · Business · Trust
- User corrections as feedback
- Vanity vs actionable metrics
Tools and frameworks
- Power BI / Looker Studio
- Excel / Sheets scorecard
Hands-On
6–8 KPIs across 3 tiers + a no-code AI-metrics dashboard
M2121 / 23
AI-Powered Project Management
AI for Business Impact
- Meeting intelligence and auto action items
- A goal → an AI phased plan with milestones
- AI SOP writing
- Raw inputs → a board-ready one-pager
Tools and frameworks
- Claude
- ChatGPT
- Notion AI
Hands-On
Minutes + action items from a messy transcript; a phased plan + risk register; a publish-ready SOP
M2222 / 23
AI for Finance
AI for Business Impact
- Expense audits, invoice extraction, forecast narratives
- Data privacy: what NOT to send (PII / salary)
- Tested Finance prompt templates
- DPDP / GDPR basics
Tools and frameworks
- Claude
- ChatGPT
- Julius AI
Hands-On
A 5-prompt Finance template set + a data-privacy boundary doc
M2323 / 23
Enterprise Adoption, Governance & Leadership
AI for Business Impact
- The automation spectrum, guardrails and automation bias
- Change management and acceptable-use governance
- AI economics: tokens, ROI, Build / Buy / Partner
- Scoring high-impact use cases; leading AI adoption
Tools and frameworks
- ChatGPT
- Claude
- Miro
- Excel / Sheets
Hands-On
An AI ROI calc + use-case scoring model + 12-month governed roadmap

Book a free demo to see the full session-by-session plan.

Start your AI Career

Your portfolio

The AI projects that you'll build

These are the sorts of projects you build and publish during the course. They fill your portfolio and give you something real to open in an interview. Every one is your own work, start to finish.

BlueTick students reviewing their AI project together

Portfolio project

The 20% sales-drop investigation

SQL
Power BI

Dig into why revenue fell, using SQL to find the story in the data and a dashboard to show it. This is the exact case you practise for interviews.

Portfolio project

Customer churn dashboard

Power Query
Power BI
DAX

Clean a messy customer dataset, model it, and build an interactive dashboard that shows who is leaving and why.

Portfolio project

Sales funnel analysis

SQL
ChatGPT
Claude

Join multiple tables with SQL, let AI draft the first pass, then verify every number and write a clear one-page insight brief.

Portfolio project

End-to-end analyst portfolio project

SQL
Power BI
GitHub
Notion

Your capstone: cleaned data, SQL analysis, a Power BI dashboard and a verified insight brief, published to GitHub or Notion for recruiters to open.

BlueTick alumni work at companies like these

Across our programs, BlueTick alumni have gone on to build careers at leading MNCs, funded startups and top product teams.

MNCs & MAANG

Funded Startups

Hiring Partners

Learn from Industry Experts who are building AI systems for Fortune 500 Companies

A different expert leads each module, so you always learn from someone who has actually built it.

Ramesh Krishnan

20+ YEARS EXPERIENCE

AI/ML Senior Manager

Kishore Vutukuri

20+ YEARS EXPERIENCE

Enterprise AI Architect

Suresh Pasumarthi

25+ YEARS EXPERIENCE

AI Solutions, Product Head

Ravindra Sonawane

15+ YEARS EXPERIENCE

Senior AI Scientist

Anirudh Ravishankar

7+ YEARS EXPERIENCE

Senior AI Engineer

Ganesh Jathar

5+ YEARS EXPERIENCE

AI Engineer

Tushar Tiwary

4+ YEARS EXPERIENCE

AI Engineer