Python

• Refresher : Introduction To Python and Data Types
• Refresher : Operators and Control Statements
• Refresher : Iteration : Loops & Iteration Analysis by AI
• Refresher : Lab Session on Iteration
• Refresher : Functions & Modularity: Designing Code with AI
• Refresher : 1D List
• Refresher : 2D List
• Refresher : Lab Session on List
• Refresher : Tuples + Strings
• Refresher : Lab Session on Strings
• Refresher : Sets and Dictionaries
• File & Exception Handling
• Interview Problems

Linux Shell Scripting and Computer Systems 1

• Linux Essentials
• Linux - File Management
• Linux - Process Management
• Linux - Networks
• Linux - Text Processing
• Shell scripting introduction
• Fundamentals of Shell Scripting

Linux Shell Scripting and Computer Systems 2

• Shell scripting walk through
• Shell scripting for DevOps - file management
• Shell scripting for DevOps - process management
• Shell scripting for DevOps - filesystem management
• Shell scripting for DevOps - backup
• Shell scripting for DevOps - Networking
• Mock interview Demo by instructor
• Git introduction
• Git in DevOps - GitHook, PR, Branching

DevOps Tools 1

• Docker introduction
• Docker image and Docker containers
• Building your own Docker image
• Images and Containers Deep dive
• Docker volume
• Docker networking deep dive
• Hardening the Docker env.
• Demo of implementing industry standard implementation (e.g. in image hardening and other security standards)
• Introduction to Orchestration
• Kubernetes architecture
• Kubernetes Pod deep dive
• Kubernetes Replicaset and Deployment deep dive, side car
• Kubernetes networking
• Scaling options in kubernetes - HPA, CA and VPA - compare with Karpentor
• Introduction to scaling in kubernets, Network policies
• Kubernetes security - RBAC
• Kubernetes volumes
• Kubernetes ingress
• Init Containers, Static Pods, Scheduling
• Kubernetes Jobs, Probes, admission controllers
• CRD, CNI
• Config maps and secrets
• Troubleshooting
• Deploying a hugging face model on K8s
• Introduciton to Observability. Prometheus and Grafana setup
• Prometheus Monitoring Configuration
• Advanced Monitoring Techniques
• Getting Started with Grafana
• Variables, Data Sources, and Persistent Dashboards in Grafana
• Scaling Grafana: Best Practices, Real-World Use Cases, and Performance Tuning
• Deploying your graph in Graphana on a Kubernetes cluster
• Advanced observability using Newrelic
• Deploying a microservice in Kubernetes cluster project

DevOps Tools 2

• Introduction to DevOps
• Introduction to CI/CD
• Jenkins introduction, architecture, jobs
• Project: CI/CD on Jenkins using simple job
• Jenkins pipeline syntaxt walk through
• Project: CI/CD on Jenkins using pipelines
• Jenkins advanced - add nodes, RBAC
• Project by engineers on Jenkins end to cicd in industry standard.
• Introduction to GitHub Actions
• Secrets, Events, and Workflow Optimization
• Advanced Techniques and Best Practices
• Efficient Workflows and Security Practices
• Project by engineers on GitHub actions end to cicd in industry standard.
• Advanced ArgoCD Usage and Configuration
• Advanced Features and Integration
• ArgoCD-Jenkins Integration
• Project Demo
• IaC fundamentatls and Ansible Fundamentals
• Ansible Playbooks & Modules
• Templates, Variables & Facts
• Roles & Advanced Topics
• Ansible Vault & Best Practices
• Introduction to SRE concepts
• Ansible Project

AWS 1

• Cloud Basics & Evolution
• AWS Compute & EC2 Intro
• EC2 Deep Dive
• EC2 Hosting & Load Balancing
• AWS IAM Basics
• AWS Storage & CloudFront
• S3 Deep Dive
• AWS CLI & Boto Intro
• AWS VPC & Networking Basics
• Advanced AWS Networking
• AWS Observability & CloudWatch
• CloudWatch & CloudTrail Advanced
• Docker App on EC2 Project
• AWS Lambda & API Gateway
• End-to-End Project

AWS 2

• AWS ECS & ECR Intro
• ECS Fundamental
• EKS Basics
• EKS Advanced
• Microservices on AWS Project
• AWS CI/CD & Pipelines
• Querying AWS Services
• Serverless on AWS
• AWS Cloud Formation
• AWS Security: Identity & Network
• AWS Security: Data & Detection
• AWS Security Hands-on
• AWS Control Tower
• AWS RDS (SQL Databases)
• DynamoDB (NoSQL)
• AWS Data Engineering (Glue & Athena)
• AWS Migration Services
• AWS Sagemaker
• Generative AI on AWS
• AWS Services Deep Dive
• Project Architecture Review
• Kubernetes AI Project
• AWS Backup
• DevOps Cert Discussion
• Terraform & IaC Intro
• Terraform Language Deep Dive
• Terraform State & Modules
• Terraform Dependencies
• Advanced Terraform Workspaces
• Terraform Cluster Project
• Deploying an app - Project

Observability, Security & Responsible Systems

• Introduction to Observability, Security & Responsible Systems
• Observability for AI and Operations
• Designing ML-Ready Pipelines
• Machine-Readable Observability Layer
• Anomaly Detection Systems
• Feature Engineering & Alerting
• Behavioral Fingerprinting
• Predictive Operations & Failure Prevention
• Forecasting & Early Warning
• Security Foundations for AI & Automation
• Guardrails & Access Control
• Zero-Trust & Audit
• AI Threat Models
• PII & Model Integrity
• Prompt Injection & Testing
• Governance and Responsible AI
• Audit, Compliance & Ethics

ML Systems, MLOps & DataOps

• Introduction to ML Systems and DataOps
• AI Observability and Model Health
• Drift Detection & Monitoring
• Model Health & Retraining
• ML-Driven Optimization
• Autoscaling & Cost Engineering
• MLOps on Kubernetes
• Inference & GPU Operations
• End-to-End MLOps Build
• Dataset Operations (DataOps)
• Data Quality & Governance

Generative AI & Agentic Systems

• Introduction to Gen AI
• Generative AI for Engineers
• IaC Generation & Validation
• Safe GenAI in Production
• Retrieval-Augmented Generation (RAG)
• Building RAG Systems
• RAG Quality & Strategy
• Agentic AI Systems
• Multi-Agent Architecture
• Agent Testing & Human-in-the-Loop
• LLM Gateway and Proxy Patterns
• Caching, Filtering & Cost Control

AI & Agents: From Talking to AI to Building One

• GenAI World & LLM Landscape
• Prompt Engineering Basics
• Advanced Prompting & AI Safety Basics
• LLM Built-in Power Tools
• RAG
• n8n Automation Workflow
• What Is an AI Agent?
• Building Agents with n8n
• OpenClaw: Personal 24/7 AI Agent
• Multi-Agent Systems
• MindStudio: Building AI Apps Visually

Intermediate DSA : AI Assisted Problem Solving

Advanced DSA: Foundations:Core Techniques & Optimization

• DSA: Time Complexity
• DSA: Arrays Techniques
• DSA: Arrays 1: One Dimensional
• DSA: Arrays 2: Two Dimensional
• DSA: Lab Session on Arrays
• DSA: Bit Manipulation
• DSA: Lab Session on Bit Manipulation
• DSA: Recursion
• DSA: Lab Session on Recursion
• DSA: Maths: Modular Arithmetic & GCD
• DSA: Hashing
• DSA: Lab Session on Hashing
• DSA: Sorting 1: Count Sort & Merge Sort
• DSA: Sorting 2: Quick Sort & Comparator Problems
• DSA: Sample Contest: Dual Camera Proctoring
• DSA Contest 1: Arrays, Bit Manipulation, Recursion, Math, Hashing & Sorting

Advanced DSA: Linear & Non-Linear Data Structures

• DSA: Searching 1: Binary Search on Array
• DSA: Searching 2: Binary Search on Answer
• DSA: Lab Session on Searching
• DSA: Classes, Objects & Linked List Introduction
• DSA: Linked List: Basic Problems
• DSA: Stacks
• DSA: Lab Session on Stacks
• DSA: Queues: Implementation & Problems
• DSA: Trees 1: Structure & Traversal
• DSA: Trees 2: BST
• DSA: Lab Session on Binary Trees
• DSA: Revision of DSA 1 & 2
• DSA: Break
• DSA Contest 2: Searching, Linked List, Stacks, Queues & Trees

Advanced DSA: Backtracking & Advanced Trees

• DSA: Maths: Combinatorics Basics & Prime Numbers
• DSA: Lab Session on Prime Numbers & 2 Pointers
• DSA: Lab Session on Maths & 2 Pointers
• DSA: Backtracking
• DSA: Lab Session on Backtracking
• DSA: Linked List: Sorting and Problems
• DSA: Linked List: Doubly Linked List & Detecting Loop
• DSA: Trees 4: Morris Inorder Traversal + LCA
• DSA: Lab Session on Binary Trees 2
• DSA: Hashing 3: Internal Implementation & Problems
• DSA Contest 3: Math, Two Pointers, Backtracking, Linked List & Trees

Advanced DSA: DP, Heaps & Graphs — Crack It with AI Edge

• DSA: Heaps: Introduction
• DSA: Heap Sort & Greedy
• DSA: Lab Session on Heaps & Greedy
• DSA: Lab Session on Interview Problems 1
• DSA: DP 1: One Dimensional
• DSA: DP 2: Two Dimensional
• DSA: DP 3: Knapsack
• DSA: Lab Session on Applications of Knapsack
• DSA: Graphs 1: Introduction, DFS & Cycle Detection
• DSA: Graphs 2: BFS & MST
• DSA: Graphs 3: Dijkstra Algo & Topological Sort
• DSA: Lab Session on Interview Problems 2
• DSA: Revision of DSA 3 & 4
• DSA Contest 4: Heaps, Greedy, DP & Graphs
• Mandatory Skill Evaluation Test: DSA
• Skill Evaluation Test Discussion + How to ace DSA Interview
• DSA : Real World Project 1 (Social Network Analyzer)
• DSA : Real world Project 2 ( Invoice Merger )

Distributed System Design & AI-Integrated Architectures

• System Design Foundations & Modern Infrastructure
• Load Balancing, Consistent Hashing & Traffic Routing at Scale
• Caching Systems: CDN, Backend Caches, Cache Invalidation
• Case Study: Caching at Scale (Scaler Code Judge and Contest Leaderboards + AI Workloads)
• Case Study: Caching Facebook News Feed
• CAP / PACELC theorem + Master Slave Replication
• SQL vs NoSQL + Sharding
• Database Orchestration & Shard Creation
• Case study: Google Typeahead (How to approach System Design Problems)
• Case Study: Google Typeahead (Design and Optimizations)
• NoSQL Internals - LSM Tree and Multi Master
• Case Study: Messaging Apps (FB Messenger, Whatsapp, Slack)
• Messaging Queues - Apache Kafka & Zookeeper
• Case Study: ElasticSearch (Full Text Search)
• Case Study: S3, HDFS (Large File Storage)
• Case Study: Uber (Nearest Neighbor Search)
• Case Study: Rate Limiter + Unique ID Generator (Infra)
• Case Study: OTT Platform (OTT)
• Microservices - 1
• Microservices - 2
• Case Study: Ecommerce Platform (Microservices)