Build Your AI + Cloud + DevOps Foundation
A practical 30-hour career starter program designed to help learners understand modern technology, work with 20+ tools and technologies, build 5 portfolio projects and prepare for technical interviews.
One structured journey. Multiple technology skills.
Instead of learning technologies in isolation, connect programming, AI, cloud and DevOps through practical labs and projects.
Web Development
Build your foundation with HTML, CSS and JavaScript through practical exercises.
Python & Data
Learn Python fundamentals with NumPy, Pandas and real-world dataset analysis.
AI & Machine Learning
Understand ML fundamentals, workflows and practical AI application development.
AWS Cloud
Get hands-on exposure to IAM, EC2, S3, VPC, RDS and Route 53.
DevOps
Understand Git, Ansible, Terraform, Docker and Kubernetes through practical labs.
Generative AI
Explore prompt engineering, RAG, AI Agents and MCP concepts.
Monitoring
Understand application and infrastructure monitoring with Prometheus and Grafana.
Linux Essentials
Practice commands, users, services and SSH fundamentals.
Career Preparation
Build a GitHub portfolio and prepare for technical interviews.
Explore 20+ technologies
Get practical exposure to the tools used across modern software, cloud, AI and DevOps environments.
Learn → Practice → Build → Prepare
30-Hour Learning Model
Every Session
From fundamentals to modern AI infrastructure
🌐 Web Development
HTML, CSS and JavaScript with profile webpage, responsive design and interactive calculator labs.
🐍 Python & Data
Python basics, NumPy arrays, Pandas DataFrames and practical dataset analysis.
🤖 Machine Learning
ML fundamentals, supervised and unsupervised learning, reinforcement learning and ML workflow.
⚙️ DevOps
Git/GitHub workflows, Ansible, Terraform, Docker containerization and Kubernetes deployment.
☁️ AWS Cloud
IAM, EC2, S3, VPC, RDS and Route 53 with practical cloud labs.
📊 Monitoring
Understand Prometheus metrics, scraping concepts and Grafana dashboards.
🧠 Generative AI
Prompt engineering, RAG architecture, AI Agents and MCP introduction.
🐧 Linux Essentials
Basic Linux commands, user management, services and SSH hands-on labs.
Connect the technology ecosystem
AI
Python → Data → ML → Prompt Engineering → RAG → AI Agents → MCP
Cloud
IAM → EC2 → S3 → VPC → RDS → Route 53 → Cloud foundations
DevOps
Git → GitHub → Ansible → Terraform → Docker → Kubernetes → Monitoring
5 practical projects
Turn learning into demonstrable work that can be published on GitHub and discussed during interviews.
HR Policy AI Assistant
Build a GenAI + RAG application that answers HR policy questions.
Student Pass / Fail Prediction
Build an ML workflow for predicting student performance.
Email Spam Detection
Create an NLP classification solution for detecting spam emails.
Sentiment Analysis
Build a text classification project for identifying sentiment.
AI Career Assistant
Combine Prompt Engineering, RAG and AI Agents into a career-focused assistant.
Learn with interview questions in every module
Each module includes interview-focused questions to connect concepts with real technical discussions.
Your journey from learning to portfolio
Learn
Understand modern technology fundamentals.
Practice
Apply concepts through hands-on labs.
Build
Create 5 practical portfolio projects.
Prepare
Strengthen GitHub, LinkedIn and interview readiness.
Start Your AI + Cloud + DevOps Journey
Learn the fundamentals, explore modern technologies, build practical projects and create a foundation for your next technology career step.
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