Artificial Intelligence Training
AI is reshaping every industry. This program gives you the foundations and the practical edge — search algorithms, knowledge representation, neural networks, computer vision and modern generative AI. You'll build a portfolio of three deployed AI projects and graduate ready for AI engineer interviews at product companies and AI-first startups.
AI is reshaping every industry. This program gives you the foundations and the practical edge — search algorithms, knowledge representation, neural networks, computer vision and modern generative AI. You'll build a portfolio of three deployed AI projects and graduate ready for AI engineer interviews at product companies and AI-first startups.
Syllabus
- AI Foundations & History
- Search & Optimization
- Knowledge Representation
- Machine Learning Essentials
- Neural Networks
- Computer Vision Basics
- Intro to Generative AI
- Capstone & Deployment
What you will learn
- Apply ML and DL to real problems
- Build computer vision solutions
- Prototype Generative AI applications
- Deploy AI models to production
Tools you will use
- Python
- TensorFlow
- PyTorch
- OpenCV
- Jupyter
- Hugging Face
Projects
- Image classifier deployed to web
- Recommendation engine for e-commerce
- GenAI chatbot with custom data
- Capstone with industry mentor
Career paths
- AI Engineer
- AI Researcher
- Applied Scientist
- AI Product Engineer
Who should join
- Tech graduates & developers
- Data enthusiasts
- Product builders adding AI
- Career changers entering AI
Prerequisites
- Basic Python helpful (we cover from scratch)
- High-school math
- Curiosity for problem-solving
Certificate
AI specialization certificate with deployed real-world AI projects in your portfolio.
Syllabus
- AI Foundations & History
- Search & Optimization
- Knowledge Representation
- Machine Learning Essentials
- Neural Networks
- Computer Vision Basics
- Intro to Generative AI
- Capstone & Deployment
Learning outcomes
- Apply ML and DL to real problems
- Build computer vision solutions
- Prototype Generative AI applications
- Deploy AI models to production
Tools
- Python
- TensorFlow
- PyTorch
- OpenCV
- Jupyter
- Hugging Face
Projects
- Image classifier deployed to web
- Recommendation engine for e-commerce
- GenAI chatbot with custom data
- Capstone with industry mentor
Career paths
- AI Engineer
- AI Researcher
- Applied Scientist
- AI Product Engineer
Who should join
- Tech graduates & developers
- Data enthusiasts
- Product builders adding AI
- Career changers entering AI
Prerequisites
- Basic Python helpful (we cover from scratch)
- High-school math
- Curiosity for problem-solving
Frequently asked questions
Do I need a strong math background?
Basic high-school math is enough — we cover all required statistics and linear algebra inside the course.
How long is the Artificial Intelligence Training course and how is it delivered?
The programme runs for 3-6 months and is available online & offline, with weekend and evening batches for working professionals.
What roles can I apply for after finishing?
Common target roles are: AI Engineer; AI Researcher; Applied Scientist; AI Product Engineer. Placement support covers resume building, mock interviews and referrals.