📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI Programming Tools for Developers, from foundations to a certified capstone project.
Outline
Introduction to Python in AI development • Setting up Python environments (Anaconda, Jupyter, etc.) • Core Python concepts: functions, loops, conditionals • Data handling with NumPy and Pandas
Outline
Overview of TensorFlow and PyTorch • Building and training neural networks with these frameworks • Exploring TensorFlow and PyTorch APIs • Evaluating and tuning models
Outline
Introduction to Keras as a high-level API for neural networks • Building and optimizing models using Keras • Training, validating, and evaluating deep learning models • Hands-on project: Image classification using Keras
Outline
Introduction to GitHub for version control and project collaboration • Best practices for branching, merging, and managing AI projects • Collaborative workflows for AI projects • Hands-on project: Set up and manage an AI project repository on GitHub
Earn government-registered certification in AI Programming Tools for Developers
e-Certificate and e-Marksheet issued on successful completion.
