TechLaunch 30 - Intensive AI Career Bootcamp

Bootcamp 30-Day Bootcamp Data Analytics Automation Testing AI Tools & Agents Portfolio Projects

From Fresher to Job-Ready Professional. Practical skills. Real projects. Industry-relevant tools, including AI tools like Claude and ChatGPT.

TechLaunch 30 is a self-guided, assignment-led 30-day bootcamp for fresh and recent graduates and job seekers. Learn Data Analytics and Automation Testing, and add hands-on AI skills on top: using Claude and ChatGPT, writing effective prompts and building AI agents for analytics and testing work. Daily submissions, mentor review and one online group discussion every week help you build a portfolio that gets you noticed.

Programme Type
Bootcamp
Modules Included
3
Duration
30 Days
Platform
Online (Self-Paced)
Fees
$450 $225
50% off until 10 Oct 2026 (GMT)
Enroll Now

Overview

Programme Overview

From Fresher to Job-Ready Professional. TechLaunch 30 is not another theory-heavy course. Over 30 days you work through guided, practical assignments in Data Analytics and Automation Testing, and add a third track on top: AI Tools & Agents. You learn to use AI tools like Claude and ChatGPT, write effective prompts, build AI agents and use them for real analytics and testing work. You finish with portfolio projects, assessments and career preparation so you can demonstrate real, entry-level skills.

Who it is for
  • Fresh graduates and recent graduates with limited practical experience
  • Job seekers trying to enter Data Analyst, BI or MIS roles
  • Candidates targeting junior QA or Automation Testing roles
  • Candidates who want hands-on experience of using AI tools and agents at work
  • Candidates who have completed courses but lack practical portfolio experience
What makes it different
  • Practical assignments every day, not theory-heavy lectures
  • AI skills applied directly to analytics and testing tasks
  • Realistic datasets and business scenarios
  • Industry-relevant tools used in entry-level roles, including Claude and ChatGPT
  • Portfolio projects documented on GitHub
  • Daily submission, mentor review and feedback
  • Interview preparation and career readiness

Upcoming Batches

Choose your start date

TechLaunch 30 - October 2026 Batch
Starts 12 October 2026 · Online (Self-Paced)
50% OFF
$450 $225
Offer applied automatically until 10 October 2026 (GMT)
Enroll in this batch

What You Learn

Courses & Modules

Data Analytics

Clean and analyse data, write practical SQL, report in Excel, model data and build Power BI dashboards with DAX, then explain the business insights.

Tools covered
Microsoft Excel SQL PostgreSQL Python pandas NumPy Power BI
Automation Testing

Write test cases, automate web applications, test APIs, report defects and run suites in CI, using Playwright with TypeScript, Selenium and Pytest.

Tools covered
Playwright TypeScript Selenium Pytest Postman GitHub Actions
AI Tools & Agents

Use AI tools like Claude and ChatGPT in real work: write effective prompts, get usable output for analytics and testing tasks and build simple AI agents. An add-on to the other two tracks.

Tools covered
Claude ChatGPT

Highlights

Programme Highlights

benefits
Interview Preparation

Mock technical interview, project presentation, CV, LinkedIn and GitHub portfolio review, and a career roadmap.

Certificate on Completion

Receive a certificate when you complete the program.

Performance Scholarship

Score above 75% in the final assessment and receive 50% of your program fee back as a performance scholarship, subject to assessment verification and the program terms.

Demonstrable Skills

Show practical project work, not only course certificates.

delivery
Self-Paced, Assignment-Led

Materials and instructions are shared before each training day. You study and practise independently.

Daily Submission & Review

Submit the day's assignment by end of day. A mentor reviews it and shares feedback and the next day's work.

Weekly Online Group Discussion

One online group discussion each week for clarification, discussion and guidance.

No Daily Live Classes

A self-guided format: there are no daily live sessions.

outcomes
Data Analytics

Clean and analyse datasets, write practical SQL, use Excel for reporting, build Power BI dashboards, create basic DAX measures, explain business insights and use AI to speed up analysis.

AI Tools & Agents

Use AI tools like Claude and ChatGPT effectively, write clear prompts, get usable output for analytics and testing work, build simple AI agents and review AI output critically.

Automation Testing

Write test cases, understand testing workflows, automate web applications with Playwright, understand Selenium, perform API testing, understand basic CI automation and use AI to speed up test design.

Career Readiness

Maintain a professional GitHub portfolio, explain and present your projects, prepare for technical interviews and build role-specific CVs.

overview
From Fresher to Job-Ready Professional

A structured 30-day path from technical fundamentals to portfolio-ready, entry-level practical skills.

Three Tracks, One Program

Data Analytics, Automation Testing and an AI Tools & Agents add-on in a single bootcamp.

AI Add-On for Real Work

Learn to use Claude and ChatGPT, write prompts and build AI agents, then apply them to analytics and testing tasks.

Practical Assignments

Hands-on daily assignments instead of theory-heavy lectures.

Realistic Datasets

Work with realistic data, including a UAE retail / logistics analytics project.

Industry-Relevant Tools

Excel, SQL, PostgreSQL, Python, Power BI, Playwright, Postman, GitHub Actions, Claude, ChatGPT and more.

Four Portfolio Projects

Business Intelligence, QA Automation, AI Agents for Analytics & Testing and a Technical Knowledge Base, each documented on GitHub so you can show real work to recruiters and interviewers.

QA Practice & Professional Technical Skills

Automation debugging, regression and negative testing, Windows troubleshooting, networking fundamentals, Microsoft 365 fundamentals, application troubleshooting and SQL / log / API investigation.

Assessments & Career Readiness

SQL, Python, Power BI and QA testing assessments, a practical project assessment, mock technical interview, project presentation, CV and LinkedIn refinement, GitHub portfolio review and a career roadmap.

Tools

Gain Exposure to Popular Tools

Claude
Python
SQL
Microsoft Excel
Power BI
pandas
NumPy
PostgreSQL
Git
GitHub
GitHub Actions
ChatGPT
TypeScript
Playwright
Selenium
Pytest
Postman

30-Day Roadmap

Day-by-day structure

Days 1-7
Core Technical Foundation

Environment setup, command line, Git / GitHub, Python fundamentals, SQL fundamentals, joins, CTEs, window functions, Advanced Excel, Power Query, Pandas, NumPy, exploratory data analysis and a foundation assessment.

Days 8-14
Data Analytics, BI & AI Tools Foundations

Power BI, data modelling, star schema, DAX, dashboard design and data storytelling. Introduction to AI tools like Claude and ChatGPT, writing effective prompts, and using AI to write and explain SQL, Excel, Python and DAX, clean data and draft business insights. Ends with an AI-assisted analytics mini-project.

Days 15-18
Software Testing, QA Automation & AI-Assisted Testing

Testing fundamentals, test planning, test cases, defect management, Playwright with TypeScript, Selenium, Python with Pytest, Page Object Model, Postman, REST API testing and GitHub Actions / CI. Using Claude and ChatGPT to generate test scenarios and test cases, draft and review automation scripts, and write defect reports.

Days 19-21
AI Agents & Professional Technical Skills

Building AI agents for analytics and testing tasks, AI-assisted debugging, regression and negative testing, Windows troubleshooting, networking fundamentals, Microsoft 365 fundamentals, application troubleshooting and SQL / log / API investigation.

Days 22-23
Portfolio Project 1: Business Intelligence

A practical UAE retail / logistics analytics project using Excel, SQL / PostgreSQL, Python / Pandas, Power BI and DAX.

Days 24-25
Portfolio Project 2: QA Automation

A practical web application testing project using Playwright, TypeScript, API testing, Page Object Model, test reporting and GitHub Actions.

Day 26
Portfolio Project 3: AI Agents for Analytics & Testing

A guided project where you build an AI agent that supports either Data Analytics work or Automation Testing work, with a prompt library, agent instructions, sample outputs, a review of output quality and limitations, and GitHub documentation.

Day 27
Portfolio Project 4: Technical Knowledge Base

Practical documentation covering troubleshooting, SQL, logs, API errors, application issues and incident documentation.

Days 28-30
Assessment & Career Readiness

SQL, Python, Power BI and QA testing assessments, a practical project assessment, mock technical interview, project presentation, CV and LinkedIn refinement, GitHub portfolio review and a career roadmap.

How It Works

Self-paced, assignment-led, mentor-reviewed

Step 1
Materials and instructions

Learning materials and instructions are provided before the relevant training day.

Step 2
Study and practise

You study and practise independently at your own pace.

Step 3
Submit the assignment

Complete the day's assignment and submit it by the end of the day.

Step 4
Mentor review

A mentor reviews your submitted work.

Step 5
Feedback and next day

You receive feedback together with the next day's work and instructions.

Every week
Online Group Discussion

One online group discussion each week for clarification, discussion and guidance. TechLaunch 30 has no daily live classes. The schedule for each batch is shared with enrolled participants.

Portfolio Projects

Build a portfolio that gets you noticed

Project 1: Business Intelligence
UAE retail / logistics analytics

Outputs: Clean dataset, SQL analysis, data model, dashboard, KPIs, business insights and GitHub documentation.

Project 2: QA Automation
Web application testing

Outputs: Manual test cases, automated test suite, API tests, defect examples, test report and GitHub repository.

Project 3: AI Agents for Analytics & Testing
Claude / ChatGPT based agent for data or testing work

Outputs: Prompt library, agent design and instructions, working agent, sample outputs, review of accuracy and limitations, and GitHub documentation.

Project 4: Technical Knowledge Base
Supporting career-readiness content

Outputs: Documentation on troubleshooting, SQL, logs, API errors, application issues and incident handling.

Assessment, Certificate & Scholarship

Demonstrable skills, not only certificates

Certificate on completion

Complete the program, including the assessments and portfolio projects, to receive your certificate.

50% performance scholarship

Score above 75% in the final assessment and receive 50% of your program fee back as a performance scholarship, subject to assessment verification and the program terms.

This is a reward for performance, not a job or placement guarantee. See the Refund & Cancellation Policy.

FAQ

Frequently asked questions

No. TechLaunch 30 is a self-paced, assignment-led program. Learning materials and instructions are shared before each training day, you study and practise independently, submit the day's assignment by the end of the day, and a mentor reviews it and shares feedback and the next day's work. There is one online group discussion every week for clarification and guidance. There are no daily live classes.

Fresh graduates, recent graduates with limited practical experience, job seekers targeting Data Analyst, BI or MIS roles and junior QA or Automation Testing roles, and anyone who wants hands-on experience of using AI tools and agents in data and testing work, as well as candidates who have completed courses but lack practical portfolio experience.

You learn how to use AI tools like Claude and ChatGPT in practical work: how to write effective prompts, how to get useful output for Data Analytics tasks (SQL, Excel, Python, DAX and insights) and Automation Testing tasks (test cases, automation scripts and defect reports), how to build simple AI agents, and how to review AI output before relying on it.

No. TechLaunch 30 is a special program that covers all three tracks: Data Analytics, Automation Testing and AI Tools & Agents, followed by portfolio projects and career readiness. The AI track is an add-on to the other two: you learn how to use AI tools like Claude and ChatGPT, write prompts and build AI agents, and apply them to Data Analytics and Automation Testing work.

You will have worked through daily practical assignments, built portfolio projects with GitHub documentation, completed assessments, taken a mock technical interview and refined your CV, LinkedIn profile and GitHub portfolio. A certificate is issued on completion.

It is an incentive for performing well, not a standard refund. If you clear the final assessment with a score above 75%, you receive 50% of your program fee back as a scholarship, subject to assessment verification and the terms on our Refund & Cancellation Policy page.

No. TechLaunch 30 does not guarantee a job or placement. It focuses on building practical, demonstrable skills and a portfolio, and the scholarship depends only on assessment performance.

Prices are shown in INR for visitors in India, AED for the UAE and USD for all other countries. You can change the location from the selector on this page or in the website footer. Any offer is applied automatically while it is valid.

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Ready to start TechLaunch 30 - Intensive AI Career Bootcamp?

$450 $225

50% off, applied automatically until 10 October 2026 (GMT)

Next batch starts 12 October 2026

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