From Zero to AI Developer — Learn, Build, and Deploy with Confidence

Build Real-World AI Skills

Master the full stack of Artificial Intelligence from fundamentals and Python coding to Large Language Models, AI agents, and computer vision. Whether you're starting fresh or leveling up, this hands-on course gives you the skills to build real-world AI projects using tools like OpenAI, LangChain, and OpenCV.

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Choose Your Learning Path

Three comprehensive tracks designed to take you from beginner to AI expert

2 weeks

AI Foundation

Perfect for beginners. Learn AI fundamentals, Python programming, and build your first ML models.

Early bird

$25

  • AI & ML Fundamentals
  • Python Programming
  • Prompt Engineering
  • LangChain Basics
  • Computer Vision
  • Real-world Projects
2 weeks

AI Deep Dive

Advanced concepts for those ready to build sophisticated AI systems and agents.

Early bird

$50

  • Advanced Prompt Engineering
  • LLMs & Multimodal Models
  • LangChain, LangFlow, LangGraph
  • RAG Deep Dive
  • AI Agent Implementation
  • Industry Projects
2 weeks

AI Advanced

Master-level curriculum covering multi-agent systems and multimedia AI applications.

Early bird

$50

  • Multimedia Intelligence
  • Multi-Agent AI Systems
  • Advanced AI Frameworks
  • AI & Computer Vision
  • Production Deployment
  • Capstone Projects

What You'll Learn in “AI Foundation”

Comprehensive curriculum covering everything from fundamentals to advanced AI systems

1. What is AI?

  • - History and key concepts.
  • - Branches of AI.

2. Machine Learning (ML) Basics

  • - Types of ML: Supervised, Unsupervised, Reinforcement Learning.
  • - Building your first ML model using scikit-learn.

1. Introduction to Python

  • - Basics: Variables, Data Types, Loops, Functions, and Classes.
  • - Libraries: NumPy, pandas, and matplotlib.

2. Getting Started with Jupyter Notebook

  • - Installation and setup.
  • - Interactive programming and visualization.

3. Assignment

1. Prompt Engineering

  • - Crafting effective prompts for AI models.
  • - Examples using OpenAI APIs (e.g., ChatGPT).

2. Introduction to Large Language Models (LLMs)

  • - Understanding LLMs like GPT and their applications.
  • - Hands-on exercises with OpenAI’s APIs.

3. Vision-Language Models (VLMs) and Multimodal Models

  • - Introduction to models like CLIP and DALL·E.
  • - Applications of multimodal AI.

4. Assignment

1. LangChain Basics

  • - Setting up LangChain for LLM chaining tasks.
  • - Building custom applications with LangChain.

2. LangFlow Introduction

  • - Using LangFlow to visually design AI workflows.

3. Assignment

1. What are AI Agents?

  • - Architecture and applications.
  • - Developing an AI agent using LangChain or LangFlow.
  • - RAG: Combining retrieval mechanisms with generative models for accurate, context-aware responses.
  • - Demonstration of RAG-enhanced AI agents retrieving info from external sources.

2. Real-World Use Cases

  • - Example 1: Projects such as task automation or chatbots.
  • - Example 2: Build a RAG-enabled chatbot using LangChain or OpenAI.

Incorporating retrieval mechanisms like databases or document stores.

3. Assignment

1. Key Concepts in Computer Vision

  • - Image processing basics.
  • - Object detection and classification.

2. Computer Vision with OpenCV

  • - Hands-on projects using Python and OpenCV.

3. Assignment

1. Assignment Projects

  • - Students choose and build projects combining all the skills learned.
  • - Examples: Chatbot with computer vision features, AI workflow automation.

2. Best Practices and Next Steps

  • - Ethical considerations in AI.
  • - Career paths in AI and ML.

Schedule of “AI Foundation”

Choose the schedule that fits your lifestyle

M Tu W Th F Sa Su
Weekday Batch

6 Sessions Over 3 days
per week

WEEK 1 (MON-WED-FRI)

  • Session 1: Fundamentals of AI + Machine Learning Basics
  • Session 2: Python Programming + Jupyter Notebook
  • Session 3: Prompt Engineering + Introduction to LLMs

WEEK 2 (MON-WED-FRI)

  • Session 4: Vision-Language & Multimodal Models + AI Frameworks
  • Session 5: AI Agents + Real-World Use Cases
  • Session 6: Computer Vision + Final Project & Best Practices
M Tu W Th F Sa Su
Weekend Batch For Working Professionals.

6 Sessions Over 2
Weeks

WEEK 1 (SAT-SUN)

  • Session 1: Fundamentals of AI + Machine Learning Basics
  • Session 2: Python Programming + Jupyter Notebook
  • Session 3: Prompt Engineering + Introduction to LLMs

WEEK 2 (SAT-SUN)

  • Session 4: Vision-Language & Multimodal Models + AI Frameworks
  • Session 5: AI Agents + Real-World Use Cases
  • Session 6: Computer Vision + Final Project & Best Practices

What You'll Learn in “AI Deep Dive”

Comprehensive curriculum covering everything from fundamentals to advanced AI systems

  1. Basic Prompt Formulations
  2. Advanced Prompt Structuring
  3. Prompt Optimization Techniques
  1. Transformers and Text Based AI
  2. Multimodal Modals
  3. VLMs
  1. LangChain
  2. LangFlow
  3. LangFlow
  1. What, Why, How of RAG?
  2. Types of Retrieval
  3. Fine Tuning RAG
  1. Types of AI Agents
  2. Components of AI Agents
  3. Implementation and Integration with External Systems
  1. AI Agent to answer customer support queries

Schedule of “AI Deep Dive”

Choose the schedule that fits your lifestyle

M Tu W Th F Sa Su
Weekday Batch

6 Sessions Over 3 days
per week

WEEK 1 (MON-WED-FRI)

  • Session 1: Advanced Prompt Engineering 
  • Session 2: Understanding LLMs, Multimodal models and VLMs 
  • Session 3: AI Frameworks  

WEEK 2 (MON-WED-FRI)

  • Session 4: RAG
  • Session 5: Implementing AI Agents 
  • Session 6: Assignment + Real-world Project 
M Tu W Th F Sa Su
Weekend Batch For Working Professionals.

6 Sessions Over 2
Weeks

WEEK 1 (SAT-SUN)

  • Session 1: Advanced Prompt Engineering 
  • Session 2: Understanding LLMs, Multimodal models and VLMs 
  • Session 3: AI Frameworks

WEEK 2 (SAT-SUN)

  • Session 4: RAG
  • Session 5: Implementing AI Agents 
  • Session 6: Assignment + Real-world Project 

What You'll Learn in “AI Advanced”

Comprehensive curriculum covering everything from fundamentals to advanced AI systems

  1. What is Multimedia and Multimodal Intelligence?
  2. M&M for Sustainable Development
  3. Applications in Real-World
  1. Transformers and Text Based AI
  2. Multimodal Modals
  3. VLMs
  1. TensorFlow, PyTorch
  2. LangChain, LangFlow, LangGraph
  3. AutoGen and CrewAI
  4. Applications and Future Trends
  1. How AI powers CV?
  2. Core Techniques in CV (Object detection, recognition, segmentation)
  3. AI models used in CV
  4. Applications and Future Trends
  1. Building an AI Security System – Allow access/entry to registered members

Schedule of “AI Advanced”

Choose the schedule that fits your lifestyle

M Tu W Th F Sa Su
Weekday Batch

6 Sessions Over 3 days
per week

WEEK 1 (MON-WED-FRI)

  • Session 1: Multimedia and Multimodal Intelligence
  • Session 2: Multi Agent AI Systems 
  • Session 3: AI Development Frameworks and Tools 

WEEK 2 (MON-WED-FRI)

  • Session 4: AI and Computer Vision 
  • Session 5: Assignment
  • Session 6: Real-world Project
M Tu W Th F Sa Su
Weekend Batch For Working Professionals.

6 Sessions Over 2
Weeks

WEEK 1 (SAT-SUN)

  • Session 1: Multimedia and Multimodal Intelligence 
  • Session 2: Multi Agent AI Systems 
  • Session 3: AI Development Frameworks and Tools 

WEEK 2 (SAT-SUN)

  • Session 4: AI and Computer Vision 
  • Session 5: Assignment
  • Session 6: Real-world Project

Choose Your Learning Path

Three comprehensive tracks designed to take you from beginner to AI expert

2 weeks

AI Foundation

Perfect for beginners. Learn AI fundamentals, Python programming, and build your first ML models.

Early bird

$25

  • AI & ML Fundamentals
  • Python Programming
  • Prompt Engineering
  • LangChain Basics
  • Computer Vision
  • Real-world Projects
2 weeks

AI Deep Dive

Advanced concepts for those ready to build sophisticated AI systems and agents.

Early bird

$50

  • Advanced Prompt Engineering
  • LLMs & Multimodal Models
  • LangChain, LangFlow, LangGraph
  • RAG Deep Dive
  • AI Agent Implementation
  • Industry Projects
2 weeks

AI Advanced

Master-level curriculum covering multi-agent systems and multimedia AI applications.

Early bird

$50

  • Multimedia Intelligence
  • Multi-Agent AI Systems
  • Advanced AI Frameworks
  • AI & Computer Vision
  • Production Deployment
  • Capstone Projects