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 & Jupyter notebooks
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
Session 1: AI Evolution & Taxonomy
90 mins
Attendance-Tracked Topics (1):
1Symbolic AI vs Machine Learning vs Deep Learning
Session 2
Session 2: State Space Search & A* Algorithm
90 mins
Attendance-Tracked Topics (1):
1BFS, 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 3
Session 3: NLP Foundations & Text Preprocessing
90 mins
Attendance-Tracked Topics (1):
1Tokenization, Stopwords, Lemmatization, TF-IDF Vectorizer
Session 4
Session 4: Sentiment Analysis & Embeddings
90 mins
Attendance-Tracked Topics (1):
1Sentiment Polarity & Semantic Word Embeddings
Session 5
Session 5: Computer Vision with OpenCV
90 mins
Attendance-Tracked Topics (1):
1Pixels, 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 6
Session 6: Hugging Face Transformers
90 mins
Attendance-Tracked Topics (1):
1Hugging Face pipeline() for Summarization & QA
Session 7
Session 7: Responsible AI & Fairness
90 mins
Attendance-Tracked Topics (1):
1Dataset Bias, Explainability & Ethical Frameworks
Session 8
Session 8: Capstone Prototype Showcase
90 mins
Attendance-Tracked Topics (1):
1Customer Support Triaging AI Showcase
Graduation Capstone
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.
Unsure if this fits your current grade?
Schedule a 10-minute discovery call with our academic advisor.