Career Launch Innovative Programme
in Entry-LevelAbout this course
Take Your First Real Step Into Tech and Data
ProDAC's Career Launch Innovative Program builds the Python, SQL and Linux foundations every tech and data career needs, in just 30 hours of live, mentor-led learning. It's the lowest-risk way to find out if this field is genuinely right for you, and the on-ramp into any of ProDAC's specialized tracks.
Built to Get You Started, the Right Way
No jargon, no assumptions about what you already know. Just the fundamentals, taught properly, with real people guiding you.
Zero Prior Experience Needed
Built for people who have never written a line of code or a SQL query before. Every concept starts from first principles.
The Foundation Every Track Needs
Python, SQL and Linux are the common base beneath every ProDAC specialization, from analytics to AI.
A Low-Risk Way to Explore
30 hours is a small commitment to genuinely test whether a tech or data career fits you, before you commit to more.
Learn-by-Doing Format
You write real Python scripts, run real SQL queries and use a real terminal from day one, not just watch slides.
Career Habits Start on Day One
Resume basics and your first GitHub profile are built into Week One, not left for later.
A Clear Next Step
Finish knowing exactly which specialized ProDAC track fits your interest and goals best.
Where This Leads
Career Launch isn't the finish line, it's the on-ramp. Once you know Python, SQL and Linux, you're ready to specialize in any of these tracks.
Business Analytics
Add SQL, Power BI and Excel to turn data into business decisions.
Data Science Elite
Go deeper into machine learning, deep learning and NLP.
Big Data Architect
Move into Spark, Kafka and large-scale data engineering.
CloudX Engineering
Take your Linux base into AWS, Azure, Docker and Kubernetes.
AI Frontier Engineering
Build toward transformers, LLMs and agentic AI systems.
Not sure which track fits? Your mentor will help you decide based on your interests and how the first 30 hours go, no pressure to choose on day one.
The Toolkit You'll Leave Knowing
Five tools, used in almost every tech and data role there is. Hover to see the name.
Your 30-Hour Journey, Mapped Out
Four modules, deliberately paced so nothing feels rushed for a first-time learner.
Foundation Week
Resume, GitHub & SDLC basics
Python Basics
Variables, logic & functions
SQL Basics
Querying & filtering real data
Linux Fundamentals
The command line, demystified
30 Hours, 4 Modules, No Filler
Tap any module to see exactly what you'll learn, build and submit.
Topics
- Resume building & LinkedIn setup
- GitHub basics & version control
- SDLC & Agile methodology
- Understanding the tech and data landscape
Practical Exercises
- Create and push your first GitHub repository
- Set up a baseline entry-level resume
Assignments
- Publish a GitHub profile README
- Complete a self-assessment of current skill gaps
Topics
- Variables, data types & control flow
- Functions & loops
- Lists, dictionaries & tuples
- Reading and writing simple files
Practical Exercises
- Write your first data-processing script
- Build simple reusable functions
Assignments
- Solve 15+ beginner Python problems
- Build a simple command-line calculator
Topics
- What a database actually is
- SELECT, WHERE & ORDER BY
- Basic joins across two tables
- Aggregate functions & GROUP BY
Practical Exercises
- Write your first 15 queries against a sample dataset
Assignments
- Answer 10 business questions using only SQL
Topics
- Navigating the file system
- Common terminal commands
- File permissions & basic scripting
- Why almost every tech job touches Linux
Practical Exercises
- Navigate and manage files entirely from the command line
Assignments
- Write a short shell script to automate a simple task
Your First End-to-End Build
One small project that ties all four modules together: pull a dataset with SQL, clean and process it with a Python script, and run the whole thing from the Linux command line, then walk a mentor through what you built and why.
It's small on purpose. The point isn't scale, it's proving to yourself that you can do this.
Pull a small dataset using the SQL basics you've learned.
Clean and reshape it with a short Python script.
Execute and automate the whole thing from the terminal.
Walk a mentor through your logic and choices.
Small Program, Real Career Habits
Even in 30 hours, you'll leave with the basics of how to present yourself professionally.
Resume Foundations
Build the first working version of your tech resume, ready to improve as you specialize.
Your First GitHub Profile
Leave with a public GitHub profile showing your first real commits.
Mentor Check-Ins
Regular touchpoints with a mentor who can answer the questions you're too unsure to ask elsewhere.
Choosing Your Next Track
One-on-one guidance on which specialized ProDAC program to move into next.
Built for Every Kind of Beginner
Hover over each path to see who it's built for.
Complete Beginners
Never written code or touched a database? This program assumes exactly that starting point.
Students Exploring Options
Not sure if analytics, engineering or AI is your thing yet? Start here and find out.
Non-Tech Professionals
Curious about data and tech but coming from a completely different field? This is the on-ramp.
Considering a Bigger Program
Want to test ProDAC's teaching style before committing to a longer, specialized track? Start small first.
Career Launch Innovative Program
Verify at prodac.iokode.com
Proof You Took the First Step
Your ProDAC Career Launch certificate is a digitally verifiable record of the foundation you've built, and a natural lead-in to your next program.
A unique certificate ID that can be validated on ProDAC's verification page.
Add it to your profile as proof you've started building real technical skills.
Comes with a GitHub profile and first project as early proof of your progress.
Ready to Take Your First Step?
Talk to our admissions team and see if Career Launch is the right place to begin.
Book Your Free Career Consultation
Share your details and our admissions counsellor will reach out within one business day.
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