• What is AI?
• The History of AI
• Different Types of AI
• AI vs. Machine
• Learning vs. Deep Learning

• Python Basics
  Installing python
• Python Data Structures
• Control Flow in Python
• Functions in Python
• Modules and Packages
• Introduction to NumPy
• Introduction to Pandas
• Introduction to Matplotlib

• Understanding Machine Learning
• Regression
• Classification
• Clustering
• Dimensionality Reduction
• Overfitting, Underfitting, and Model Selection

• Introduction to Neural Networks
• Types of Neural Networks
• Neural Network Components
• Activation Functions and Cost Functions
• Backpropagation and Gradient Descent
• Regularization Techniques (Dropout, Batch Normalization)

• Convolutional Neural Networks for Image Processing
• Recurrent Neural Networks for Sequence Data
• Generative Adversarial Networks
• Transfer Learning and Fine-tuning

• Natural Language Processing
• Computer Vision
• Speech Recognition and Synthesis (part 1)
• AI in Healthcare
• AI in Business and E-commerce
• AI in Autonomous Vehicles
• AI in Entertainment
• AI in Finance
• AI in Blockchain
• AI in IOT

• Understanding AI Ethics
• Potential Pitfalls and Controversies in AI
• Strategies for Responsible AI Deployment

• Tensorflow
• PyTorch 2.0
• Cloud AI Services (AWS, Google Cloud AI, Azure AI)

• Regression using python
• Classification using python
• Clustering using python

• LangChain – Langchain for Conversational AI Applications
• LangChain – Deploying Language Model APIs with Langchain
• LangChain – Langchain for RAG Workflows
• Ollama – Overview of Ollama for conversational AI
• Ollama – Developing and deploying conversational agents with Ollama

• Text Classification Model
• Bert text classification
• Data preparation and preprocessing

• Text Generation Model
• Evaluation and fine-tuning
• Evaluation and fine-tuning

• Building  Handwritten Digit Recognition Application using AI

There will be a multiple choice exam of 100 marks.

You need to acquire 60+ marks to clear the exam.

If you fail, you can retake the exam after one day.

You can take the exam no more than 3 times.

If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam