Artificial Intelligence Certification Course

Module 1: Introduction to AI and Python for AI

⏳ 1 week

• Topics: AI vs. ML vs. DL, Python setup, NumPy, pandas, matplotlib basics

• Hands-on: Python scripting and data manipulation exercises

Module 2: Deep Learning with TensorFlow & Keras

⏳ 1 week

• Topics: Perceptron, neural networks, backpropagation, optimizers

• Hands-on: Build and train a neural network model using Keras

Module 3: Convolutional Neural Networks (CNNs)

⏳ 1 week

• Topics: Filters, pooling, architectures like LeNet, AlexNet

• Hands-on: Image classification project using CNNs on datasets like MNIST

Module 4: Recurrent Neural Networks (RNNs)

⏳ 1 week

• Topics: Sequence modeling, LSTM, GRU, time series forecasting

• Hands-on: Text prediction and sentiment analysis using RNNs

Module 5: Natural Language Processing (NLP)

⏳ 1 week

• Topics: Tokenization, stemming, TF-IDF, word embeddings

• Hands-on: Build a chatbot using NLP techniques and neural networks

Module 6: Reinforcement Learning

⏳ 1 week

• Topics: Markov Decision Processes, Q-learning, exploration vs. exploitation

• Hands-on: Train an agent to solve a game environment like CartPole

Module 7: AI in Real-World Applications

⏳ 1 week

• Topics: AI use cases in healthcare, finance, robotics, automation

• Hands-on: Capstone project applying learned techniques to a domain of choice

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