What You Will Learn
- Understand AI fundamentals and real-world applications.
- Master Machine Learning and Deep Learning concepts.
- Build AI-powered applications using Python.
- Work with Large Language Models (LLMs).
- Create AI chatbots and AI agents.
- Learn Prompt Engineering techniques.
- Build Computer Vision and NLP projects.
- Integrate AI APIs into applications.
- Automate workflows with AI tools.
- Build industry-ready AI projects.
- Use AI responsibly and ethically.
Curriculum
1.Introduction to Artificial Intelligence
Learn the fundamentals of AI and understand how intelligent systems work.
- What is Artificial Intelligence?
- AI Applications
- Types of AI
- AI Workflow
- Future of AI
2. Python for AI
Build a strong programming foundation using Python.
- Python Basics
- Data Structures
- Functions
- OOP Concepts
- Python Libraries
3. Mathematics for AI
Understand the mathematical concepts behind AI models.
- Linear Algebra
- Probability
- Statistics
- Calculus Basics
- Optimisation
4. Machine Learning Fundamentals
Build predictive AI models using machine learning algorithms.
- Supervised Learning
- Unsupervised Learning
- Regression
- Classification
- Content Optimization
- Clustering
5. Deep Learning
Create high-quality visuals with AI.
- Neural Networks
- TensorFlow
- Keras
- CNN
- CNN
6. Natural Language Processing (NLP)
Teach computers to understand and generate human language.
- Text Processing
- Tokenization
- Sentiment Analysis
- Text Classification
- Language Models
7. Computer Vision
Develop AI systems that analyze images and videos.
- OpenCV
- Image Processing
- Object Detection
- Face Recognition
- OCR
8. Generative AI & LLMs
Work with modern AI models and content generation.
- ChatGPT
- Claude
- Gemini
- Llama
- Prompt Engineering
9. AI Agents & Automation
Build intelligent AI assistants and automate workflows.
- AI Agents
- LangChain
- RAG Fundamentals
- Workflow Automation
- AI Assistants
10. AI APIs & Deployment
Deploy AI applications and integrate AI services.
- OpenAI API
- Gemini API
- Hugging Face
- FastAPI
- Cloud Deployment
11.AI Tools & Productivity
Use AI tools to improve development and productivity.
- ChatGPT
- GitHub Copilot
- Cursor AI
- Claude AI
- Perplexity AI
12. Real-World AI Projects
Develop practical AI applications from scratch.
- AI Chatbot
- AI Content Generator
- AI Image Generator
- AI Resume Builder
- AI Business Assistant
13. Career Preparation
Prepare for AI careers with professional guidance.
- Resume Building
- AI Portfolio
- Freelancing with AI
- AI Career Roadmap
- Python
- Jupyter Notebook
- VS Code
- Keras
- OpenCV
- Scikit-learn
- Hugging Face
Topics Covered
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🔥 Limited seats — enroll today!
- 48 live sessions
- 16 weeks
- Small batch — max 5 students
- Industry-verified certificate
- Beginner to Advanced