Working with Python Libraries (NumPy, pandas)

Efficient Data Handling and Manipulation

Debugging, Testing, and Profiling AI Code

Machine Learning and Data Engineering

Implementing ML Models with scikit-learn

Model Evaluation: Cross-validation, ROC Curve

Data Preprocessing Pipelines: Real-World Datasets

Deep Learning & Neural Networks in Practice

Transfer Learning and Model Fine-Tuning

Introduction to TensorFlow and PyTorch

What is TensorFlow?

What is PyTorch?

Training on GPUs: Setup and Workflow

Applied Robotics and AI Integration

Sensor Fusion Techniques and Data Integration

How Does Sensor Fusion Address Data Synch?

AI Control Algorithms for Autonomous Robots

Get Your Python AI, ML, DL, Robotics Certification