AI & ML Starter Course with No-Code AI Projects [2024]

• Basics of Human Brain & Artificial Neural Network – Biological Neurons & Artificial Neurons
• Difference between Artificial Intelligence, Machine Learning & Deep Learning
• 3 Machine Learning Techniques – Supervised Learning, Unsupervised Learning, Reinforcement Learning with examples
• Learn how to train, evaluate and optimize a Machine Learning model
• Day in a life of an AI/ML Engineer
• ML Model Evaluation Method – Confusion Matrix, Error, Recall, Precision, Accuracy
• ML Model Optimization Method – Learning Rate, Epoch, Batch Size
• ML Model Training – Using Open-Source Tools
• Hands-On Project 1 – Build a Machine Learning model using Healthcare Dataset
• Hands-On Project 2 – Build a Machine Learning model using Agriculture Dataset

Who this course is for:

• Those who want to learn the basics of Artificial Intelligence (AI) & Machine Learning (ML) and need hands-on exposure.