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🗓️ Month-Wise Learning Plan (9 Months) 🧩 Month 1: Programming Foundations & Problem Solving ▪ Core programming using Python / Java (choice-based) ▪ Variables, loops, functions, recursion ▪ Time & space complexity basics ▪ Introduction to problem-solving patterns ▪ Hands-on coding sessions + daily practice 📌 Outcome: Strong logical thinking & coding confidence 🧠 Month 2: Data Structures – Core ▪ Arrays, Strings, Hashing ▪ Stacks, Queues, Linked Lists ▪ Sliding window & two-pointer techniques ▪ Pattern-based problem solving ▪ LeetCode / InterviewBit-style problems 📌 Outcome: Crack easy–medium coding rounds confidently 🌲 Month 3: Data Structures – Advanced ▪ Trees, Binary Search Trees ▪ Heaps & Priority Queues ▪ Graphs (BFS, DFS, shortest path) ▪ Recursion & Backtracking ▪ Dynamic Programming (intro to advanced) 📌 Outcome: Handle complex interview-level problems 🧱 Month 4: System Design – Foundations ▪ How large-scale systems work ▪ Load balancing, caching, databases ▪ CAP theorem, consistency models ▪ REST APIs, monolith vs microservices ▪ Low-level design (LLD) basics 📌 Design Case Studies: ✔ URL Shortener ✔ Notification System ✔ File Storage System 🏗️ Month 5: System Design – Advanced ▪ High-level design (HLD) ▪ Scalable backend architectures ▪ Database sharding & replication ▪ Message queues (Kafka / RabbitMQ) ▪ Designing for millions of users 📌 Design Case Studies: ✔ E-commerce platform (Amazon-style) ✔ Food delivery system (Blinkit-style) ✔ Fintech transaction system ☁️ Month 6: Cloud-Native Development ▪ Backend development using Node.js / Python ▪ REST APIs with authentication & authorization ▪ Cloud basics (AWS/GCP/Azure overview) ▪ Deploying applications on cloud ▪ Real-time databases & storage 📌 Project: Deploy a production-ready backend service on cloud 🤖 Month 7: AI-Assisted Software Development ▪ Using AI tools for engineering productivity ▪ Prompt engineering for developers ▪ AI for debugging, refactoring & testing ▪ Intro to ML concepts for engineers ▪ Integrating AI APIs into applications 📌 Project: AI-powered feature inside a real application ⚙️ Month 8: DevOps, MLOps & Production Engineering ▪ CI/CD pipelines (Git, Jenkins/GitHub Actions) ▪ Docker & containerization ▪ Kubernetes basics ▪ Monitoring, logging & alerts ▪ Secure deployments & DevSecOps concepts 📌 Project: End-to-end CI/CD + cloud deployment pipeline 🎓 Month 9: Capstone Projects & Placement Prep ▪ 2–3 industry-grade capstone projects ▪ Mock interviews (DSA + System Design) ▪ Resume & GitHub optimization ▪ Behavioral & HR interview prep ▪ Placement pipeline & referrals 📌 Capstone Examples: ✔ Scalable SaaS backend (Deloitte-style) ✔ AI-driven analytics platform (PwC/KPMG-style) ✔ Cloud-native enterprise system (TCS-style) 🧪 Key Program Highlights ✔ Live instructor-led classes ✔ Daily coding practice & evaluations ✔ Real-world system design projects ✔ AI-integrated development workflow ✔ Cloud deployment & production exposure ✔ Placement-focused learning path 💼 Placement Model Learners pay only 50% fee during the program Remaining 50% payable after placement Complimentary interview preparation Dedicated placement & referral support
🎓 12-Month Master Program: Cloud, DevOps, DSA, MLOps & GenAI 📍 Phase 1: Foundations (Month 1 – Month 3) Month 1 – Cloud Basics & DSA Foundations Cloud: Intro to Cloud Computing, IaaS/PaaS/SaaS, AWS/Azure/GCP overview DSA: Complexity Analysis, Arrays, Strings, Recursion Hands-on Project: Deploy a static website on AWS S3 + Basic DSA coding challenges Month 2 – DevOps Fundamentals Version Control: Git, GitHub/GitLab workflows CI/CD Basics: Jenkins, GitHub Actions DSA: Searching & Sorting, Linked Lists Hands-on Project: Set up a CI/CD pipeline for a sample app Month 3 – Cloud Core Services + DSA Expansion Cloud: Compute (EC2, VM), Storage (S3, Blob), Networking (VPC) DSA: Stacks, Queues, Hashing Hands-on Project: Build a 3-tier cloud architecture + DSA problem sets 📍 Phase 2: Intermediate (Month 4 – Month 6) Month 4 – DevOps Intermediate + Cloud IAM Cloud: IAM, Security, Monitoring (CloudWatch, Azure Monitor) DevOps: Docker basics, Containerization DSA: Trees (Binary Trees, BST) Hands-on Project: Dockerize a web app + IAM role-based access project Month 5 – Kubernetes & IaC DevOps: Kubernetes basics (Pods, Deployments, Services) IaC: Terraform, Ansible DSA: Graphs (BFS, DFS, Shortest Path) Hands-on Project: Deploy microservices on Kubernetes Month 6 – Cloud Native & Advanced DevOps Cloud: Serverless (AWS Lambda, Azure Functions, GCP Functions) DevOps: Advanced CI/CD, GitOps (ArgoCD) DSA: Dynamic Programming basics Hands-on Project: End-to-end Serverless app with CI/CD pipeline 📍 Phase 3: Advanced (Month 7 – Month 9) Month 7 – MLOps Foundations MLOps: ML lifecycle, Data pipelines, DVC, MLflow Cloud: Managed AI/ML services (AWS Sagemaker, Azure ML) DSA: Advanced DP, Greedy algorithms Hands-on Project: Train & track ML experiments with MLflow Month 8 – MLOps Deployment Deployment: FastAPI/Flask model serving CI/CD for ML: Kubeflow pipelines Monitoring: Drift detection, logging Hands-on Project: Deploy ML model on Kubernetes with monitoring Month 9 – Generative AI Foundations GenAI: Transformer basics, LLMs overview (GPT, LLaMA, BERT) Prompt Engineering Tools: Hugging Face, LangChain basics Hands-on Project: Build a simple GenAI chatbot with OpenAI API 📍 Phase 4: Specialization (Month 10 – Month 12) Month 10 – GenAI Applications & DSA Advanced GenAI: RAG (Retrieval Augmented Generation), Fine-tuning (LoRA, PEFT) Applications: Chatbots, Image generation, Speech AI DSA: Backtracking, Segment Trees, Bit Manipulation Hands-on Project: Custom knowledge chatbot with LangChain + Vector DB Month 11 – Specialization Track Selection Students choose one specialization: Cloud & DevOps Architect Multi-cloud architecture CI/CD at scale Security, compliance, FinOps MLOps Engineer Advanced pipelines, ML observability Large-scale model deployment GenAI Engineer Fine-tuning LLMs Building multimodal apps (text + image + speech) Hands-on Project: Capstone preparation aligned with specialization Month 12 – Capstone & Career Prep Capstone Projects: Cloud/DevOps → Multi-Cloud E-commerce infra with CI/CD MLOps → End-to-end ML pipeline with monitoring GenAI → AI Copilot app (Chatbot + RAG + API integration) Career Prep: Resume, Interview training, Mock interviews Final Demo Day: Present capstone projects 🎯 Outcome & Certification By end of the program, learners graduate as: Cloud & DevOps Architect (if specialization chosen) MLOps Engineer (if specialization chosen) GenAI Engineer (if specialization chosen) Plus strong foundation in DSA for coding interviews
🔹 Short Description: ☁️ Salesforce Development – 4 Months Master the Salesforce platform with Apex, Lightning Components, Automation Tools, and real-world projects. Learn to build custom CRM apps and workflows with full certification support and job assistance.
🔹 Short Description: 🔐 Cybersecurity – 9 Months Become a job-ready cybersecurity expert by learning network security, ethical hacking, cloud protection, SOC operations, and more. Gain hands-on experience with real tools, labs, and certifications — with full placement and interview support.
🔹 Short Description: 🤖 Automation Testing – 4 Months Master test automation with Selenium, TestNG, and real-world frameworks. Learn to write test scripts, build test suites, integrate with CI/CD tools like Jenkins, and become job-ready with hands-on projects and certification.
🔹 Short Description: 🧪 Manual Testing – 4 Months Learn the core concepts of software testing, bug tracking, test case writing, and real-world QA processes. Master manual testing with live projects, tools like Jira, and get certification + job support to kickstart your QA career.
🔹 Short Description: 🏗️ System Design – 6 Months Build expertise in designing scalable, secure, and real-time systems like Netflix, Uber, and WhatsApp. Learn core concepts, architecture patterns, and modern tools with real-world case studies, projects, interview prep, and certification.
🔹 Short Description: 🤖 Prompt Engineering – 6 Months Master the art of crafting effective prompts for ChatGPT, DALL·E, and other Gen AI tools. Learn AI fundamentals, prompt techniques, APIs, and industry use cases with hands-on projects, certification, and job/freelance support.
🔹 Short Description: 📈 Digital Marketing – 4 Months Master SEO, Social Media, Google Ads, and Email Marketing with live campaigns, tools, and analytics. Learn to build result-driven digital strategies with hands-on projects, certifications, and job support.
⚙️ Back-End Development – 4 Months. Master server-side development with Node.js, Express, MongoDB, and build powerful, scalable APIs. Learn authentication, database design, and cloud deployment with hands-on projects, certification, and placement support.
🎨 Front-End Development with MERN Stack – 4 Months Learn to build modern, responsive web interfaces using HTML, CSS, JavaScript, and React JS. Master API integration, UI frameworks, and real-world project development with hands-on training, certification, and job support.
