Sustainability

Tensorflow 2.0: Deep Learning & Artificial Intelligence

Course Overview

Explore the foundations of deep learning and artificial intelligence using TensorFlow 2.0. This 2-day hands-on training guides participants in building and training basic neural networks for practical use cases.

Course Objectives

Understand deep learning and neural network architecture
Get familiar with TensorFlow 2.0 tools and environment
Build, train, and evaluate models
Apply deep learning to real-world datasets

Learning Outcomes

By the end of this training, participants will be able to:

Understand the workflow of deep learning projects
Build basic models using TensorFlow and Keras
Use training, validation, and evaluation techniques
Apply AI models for tasks like image classification or text recognition

Who Should Join

Data analysts and developers
Researchers and educators in AI
Final year students in tech programs
Anyone with basic Python knowledge

What You'll Get

Certificate of Completion
Meals Provided
Digital Notes

Course Outline

Day 1:

Introduction to Deep Learning & TensorFlow
Data Preparation & Model Building
Activation Functions and Optimizers

Day 2:

Hands-on: Model Training & Evaluation
Use Cases: Image & Text Classification
Saving, Loading, and Improving Models

Public Training Slots

Date	Day	Mode	Venue	Time	Public Price	HRDC Price

Date	Mode	Time	Public Price