D24
Data & AIAdvanced8 weeks
Artificial Intelligence
Build a strong foundation in AI concepts, neural networks, and practical applications used across industries today.
What you'll learn
Core AI concepts, neural networks, and how they learn
Working with modern AI APIs like OpenAI and Gemini
Building AI-powered features into real applications
Responsible AI practices and evaluating model output
Course details
Duration
8 weeks
Best for
Developers and analysts ready to build practical AI features
On completion
Verified certificate & placement assistance
Course Curriculum
A module-by-module breakdown of what you'll cover in Artificial Intelligence.
01
AI Foundations
Weeks 1–2- History and core concepts of AI
- Types of AI: narrow vs general
- Ethics and responsible AI
02
Neural Networks
Weeks 3–4- Perceptrons and deep learning basics
- Training and backpropagation
- Common architectures: CNNs and RNNs
03
Applied AI
Weeks 5–6- Working with OpenAI and Gemini APIs
- Building AI-powered features
- Prompt engineering fundamentals
04
Capstone Build
Weeks 7–8- Designing an AI feature for a real use case
- Testing and evaluating model output
- Deploying an AI-powered mini-app
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
Python
AIOpenAI API
GemGemini API
TensorFlow
JnJupyter Notebook
Hands-on Projects
This is project-based learning — you'll build real, portfolio-ready work as you go, not just watch lectures.
AI-powered customer support assistant
Document summarization tool
Image classification mini-app
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Student Reviews
“Gave me exactly what I needed to have informed conversations with my engineering team about AI features.”
Sanjay Iyer
Product Manager
“The applied AI module was excellent — building with real APIs made concepts click instantly.”
Meena Krishnan
Computer Science Student
Enroll in Artificial Intelligence
Fill out this form and our team will confirm your seat and next batch dates. The course is pre-selected — no need to search for it again.
