Course Overview
This course is a powerful combination of Data Structures & Algorithms (DSA) fundamentals and practical applications of Generative AI (GenAI). Designed to help learners build a solid coding foundation while exploring cutting-edge AI tools and models, the course emphasizes real-world projects, interview readiness, and industry relevance.
What You’ll Learn
Core data structures and algorithms (Arrays, Trees, Graphs, etc.)
Time & space complexity analysis
Problem-solving patterns used in coding interviews
Generative AI tools like ChatGPT, DALL·E, and Midjourney
Prompt engineering, AI ethics, and model applications
Integration of AI into web and software projects
Modules Covered
Module 1: Programming Basics & Complexity
Time & Space Complexity (Big O)
Variables, loops, functions, recursion
Dry runs and debugging techniques
Module 2: Core Data Structures
Arrays, Strings, Linked Lists
Stacks & Queues
Hash Tables / Dictionaries
Trees (Binary, BST, Heap)
Graphs (DFS, BFS, shortest path)
Module 3: Algorithms & Problem Solving
Sorting & Searching
Sliding Window, Two Pointer, Recursion
Dynamic Programming
Backtracking
Greedy Algorithms
Interview problem sets (Leetcode-style)
Module 4: Introduction to Generative AI
What is GenAI?
Large Language Models (LLMs) overview
Popular tools: ChatGPT, DALL·E, Stable Diffusion
Ethical use of GenAI and responsible AI
Module 5: Prompt Engineering & GenAI Applications
Prompt writing strategies for ChatGPT
Role-based prompting, chain-of-thought, zero/few-shot prompts
Image generation with DALL·E and Midjourney
Text summarization, email automation, content creation
Module 6: Building Projects with GenAI + DSA
AI-Powered Resume Builder (ChatGPT API + JavaScript)
Virtual Interview Bot using Prompt Chains
Visual DSA Problem Solver using React + ChatGPT
Daily Problem Tracker using Python and SQLite
Code Autocomplete Tool (Mini Copilot Simulation)
Module 7: Real-World Skills & Interview Prep
Resume writing with GenAI support
Mock interviews (DSA + AI case study rounds)
GitHub portfolio setup and project deployment



