🚀 AWS AI Data Engineer Zero to Hero - Live Program with Sanjeev Kumar

Transform Your Career.

Become Job-Ready in 16 Weekend Sessions

Break into high-paying AWS Data Engineering roles with structured mentorship, real-world projects, and placement support.

This is not just a course.

This is a career transformation program.

Start Date 14th March - Early Bird Prices listed so join before price hike.

📅 Program Structure

Duration: 16 Sessions on Weekends

Start Date 14 - March - 2026

Live Sessions: 4 Hours per Week, Saturday and Sunday (2 hour each)

Time 2 PM IST to 4PM IST Saturday and Sunday

Format: Live + Hands-on + Mentorship + QnA

👨‍💻 Who This Program Is For

✅ Beginners who want to start a Data Engineering career

✅ Developers / Testers / Support Engineers moving into Data roles

✅ Cloud Engineers wanting Data specialization

✅ Analysts transitioning to Big Data & AI pipelines

✅ Job seekers who need real projects + placement guidance

If you're serious about getting hired — this is for you.

🎯 What You’ll Achieve

By the end of this program, you will:

✔ Master the complete AWS Data Engineering stack

✔ Build 8+ production-grade real-world projects

✔ Create a strong GitHub portfolio

✔ Optimize pipelines for cost, performance & security

✔ Prepare a job-winning Resume + LinkedIn

✔ Crack interviews with mock sessions + referrals

You’ll be job-ready for roles like:

1. AWS Data Engineer
2. Big Data Engineer
3. Data Platform Engineer
4. Analytics Engineer

🏗 What You’ll Master (Hands-On)

You will gain deep practical experience in:

1. Amazon S3 (Enterprise Data Lake Architecture)
2. Amazon RDS (Operational to Analytics migration)
3. Amazon Redshift (Data Warehousing & Optimization)
4. AWS Glue (PySpark ETL Pipelines)
5. Amazon Athena (Serverless Analytics)
6. Amazon EMR (Spark & Big Data Processing)
7. Amazon Kinesis (Real-Time Streaming Pipelines)
8. AWS Lambda (Serverless Data Processing)
9. Amazon QuickSight (Business Intelligence Dashboards)

🧠 Real-World Projects You Will Build

🔥 Enterprise Data Lake (Multi-layer architecture)

🔥 Automated ETL Pipeline with PySpark

🔥 Real-Time Streaming Pipeline

🔥 Big Data Processing with Spark on EMR

🔥 Enterprise Data Warehouse Design

🔥 CI/CD for Data Pipelines (Terraform + GitHub Actions)

🔥 Data Security & Governance Implementation

🔥 Executive BI Dashboard

🔥 Modern Data Lakehouse Architecture

These are not toy projects.

These are resume-ready, interview-discussion-level systems.

Phase 1 – Foundations (Weeks 1–7)

Build strong fundamentals of AWS Data Stack + Architecture.

Phase 2 – Advanced Projects & Production Systems

Design, optimize, secure, and deploy enterprise-grade data platforms.

Phase 3 – Job Preparation & Placement Support

1. Resume building
2. LinkedIn optimization
3. GitHub polishing
4. Mock interviews
5. Interview strategy
6. Referral guidance

💼 Why This Program Is Different

❌ Not pre-recorded content dumping

❌ Not theoretical AWS overview

❌ Not certification-focused only

✅ Real-world architecture thinking

✅ Production-level projects

✅ Direct mentorship

✅ Career-focused roadmap

✅ Placement-oriented preparation

💰 Expected Career Outcomes

Many Data Engineering roles offer strong salary growth once you are job-ready.

With the right skills + portfolio + interview prep, you can confidently target:

1. Mid-level AWS Data Engineer roles
2. Big Data Engineering roles
3. Cloud Data Platform roles

📞 How Registration Works

1️⃣ Register through Topmate

2️⃣ Get onboarding details

3️⃣ Join orientation session

4️⃣ Start building your Data Engineering career

Limited seats to ensure personalized mentorship.

🚀 Ready to Transform Your Career?

If you are serious about becoming an AWS Data Engineer —

this program is designed for you.

👉 Register Now

👉 Limited Seats

👉 Next Batch Starting 14th March