Complete AI Masterclass

Learn AI from scratch, covering Python, data analytics, machine learning, deep learning, NLP, and generative AI with hands-on projects.

Course Plan

Weeks 1-2: Python Foundations

  • Learn variables, data types, and operators
  • Understand loops, conditionals, functions, and modules
  • Work with lists, dictionaries, sets, and file handling
  • Project: Build a calculator and a to-do list manager

Weeks 3-4: Data Analytics with Python

  • Data wrangling with Pandas: filtering, grouping, merging
  • Visualize data with Matplotlib and Seaborn
  • Basic statistics: mean, median, correlation
  • Project: Analyze a sales dataset to identify trends

Weeks 5-6: Foundations of Machine Learning

  • Supervised vs. unsupervised learning
  • Regression and classification with Scikit-learn
  • Model evaluation: accuracy, precision, recall
  • Project: Build a house price prediction model

Weeks 7-8: Advanced Machine Learning

  • Decision trees, random forests, and clustering
  • Dimensionality reduction with PCA
  • Hyperparameter tuning with GridSearchCV
  • Project: Create a customer segmentation model

Weeks 9-10: Introduction to Deep Learning

  • Neural network basics: layers, activation functions
  • Build neural networks with TensorFlow/Keras
  • Convolutional Neural Networks (CNNs) for images
  • Project: Classify handwritten digits with a CNN

Weeks 11-12: Deep Learning for Computer Vision

  • Transfer learning with pre-trained models (e.g., ResNet)
  • Image preprocessing and augmentation
  • Neural style transfer for art generation
  • Project: Classify images and create artwork with style transfer

Weeks 13-14: Natural Language Processing (NLP)

  • Text preprocessing: tokenization, stemming
  • Word embeddings: Word2Vec, GloVe
  • RNNs, LSTMs, and introduction to transformers
  • Project: Build a sentiment analysis model for movie reviews

Weeks 15-16: Advanced NLP with Transformers

  • Transformer architecture: BERT, GPT
  • Fine-tuning pre-trained models with Hugging Face
  • Text generation and question answering
  • Project: Fine-tune BERT for question answering

Weeks 17-18: Generative AI (GenAI)

  • Generative models: GANs, diffusion models
  • Retrieval-Augmented Generation (RAG) with LangChain
  • Text-to-image generation with Stable Diffusion
  • Project: Build a chatbot and a text-to-image app

Week 19: Capstone Project - End-to-End AI System

  • Combine data analytics, ML, DL, and NLP skills
  • Deploy with Flask API and Streamlit
  • Project: Build a movie recommendation system

Week 20: Deployment and Final Review

  • Deploy models on AWS SageMaker or Google Cloud
  • Optimize models for production
  • Create a portfolio and review key concepts

We Will Cover Tools

Python Python
Pandas Pandas
NumPy NumPy
Matplotlib Matplotlib
Seaborn Seaborn
Scikit-learn Scikit-learn
TensorFlow TensorFlow
Keras Keras
PyTorch PyTorch
NLTK Whisper-1
Openai Dalle-OpenAI
Hugging Face Hugging Face
LangChain LangChain
Stable Diffusion Stable Diffusion
Flask API Flask API
Streamlit Streamlit
OpenAI OpenAI
Gemini Gemini
AWS SageMaker AWS SageMaker
Vertex AI Vertex AI