BTech / BCA Track6 Weeks CohortTopic-Linked Attendance Enabled
AI Fundamentals
A comprehensive journey through artificial intelligence concepts. Covers classical state-space search (A*), NLP fundamentals, computer vision with OpenCV, Hugging Face transformers, and AI ethics.
Key Skills You Will Master:
A* SearchNLP PreprocessingTF-IDFOpenCV VisionHugging FaceAI Ethics
Lead Instructor
Vikramaditya Iyer
Ex-Tech Lead & STEM Mentor
Total Program Fee (Full Cohort + Materials)
₹2,799₹3,999Save 30%
Choose Your CohortLive Interactive
Next cohort starting next weekend • 5:00 PM IST
8 Live Hybrid Interactive Sessions
8 Granular Tracked Topics
Downloadable datasets, cheatsheets & spreadsheets
Verifiable Certificate upon 85%+ topic completion
Syllabus Breakdown
Course Structure & Tracked Topics
Click on any module to view live sessions and the exact list of topics tested & tracked for attendance.
Session 1 • 90 Minutes Live
Session 1: AI Evolution & Taxonomy
Granular Tracked Topics (1):
Symbolic AI vs Machine Learning vs Deep Learning
Session 2 • 90 Minutes Live
Session 2: State Space Search & A* Algorithm
Granular Tracked Topics (1):
BFS, DFS, Heuristic Functions & A* Search Implementation
Beginner Milestone: Autonomous Maze Pathfinding Agent
Implement an intelligent game agent navigating dynamic obstacle grids using A* search.
Deliverable: Python search algorithm script with step visualizations.
Session 1 • 90 Minutes Live
Session 3: NLP Foundations & Text Preprocessing
Granular Tracked Topics (1):
Tokenization, Stopwords, Lemmatization, TF-IDF Vectorizer
Session 2 • 90 Minutes Live
Session 4: Sentiment Analysis & Embeddings
Granular Tracked Topics (1):
Sentiment Polarity & Semantic Word Embeddings
Session 3 • 90 Minutes Live
Session 5: Computer Vision with OpenCV
Granular Tracked Topics (1):
Pixels, Color Spaces, Edge Detection & Haar Cascades
Intermediate Milestone: Multimodal Sentiment & Vision Classifier
A dual-engine tool classifying review text sentiment and recognizing product defect images.
Deliverable: Python multimodal classification script.
Session 1 • 90 Minutes Live
Session 6: Hugging Face Transformers
Granular Tracked Topics (1):
Hugging Face pipeline() for Summarization & QA
Session 2 • 90 Minutes Live
Session 7: Responsible AI & Fairness
Granular Tracked Topics (1):
Dataset Bias, Explainability & Ethical Frameworks
Session 3 • 90 Minutes Live
Session 8: Capstone Prototype Showcase
Granular Tracked Topics (1):
Customer Support Triaging AI Showcase
Graduation Capstone Portfolio
Smart Customer Support AI Assistant & Ticket Triaging App
Build an AI prototype that predicts email sentiment, summarizes customer inquiries, and auto-drafts responses.
Deliverable:
Interactive Streamlit App + Hugging Face Transformers Pipeline
What You Will Be Able To Do
Implement intelligent pathfinding algorithms (BFS/DFS, A* Search)
Preprocess text and extract semantic sentiment using TF-IDF and NLP pipelines
Process image pixels and detect features with OpenCV
Utilize pretrained transformer models from Hugging Face Hub
Prerequisites
Python basics recommended.