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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

By Laurence Moroney Posted: Jul 30, 2026

Course Details

Pricing Free
Offered By DeepLearning.Ai
Difficulty Intermediate
Duration Flexible Schedule (Approximately 11 Hours)
Language English
Certificate Available

Course Curriculum & Description

Begin your journey into Artificial Intelligence and Deep Learning with TensorFlow, Google's powerful open-source machine learning framework. This intermediate-level course from DeepLearning.AI teaches you how to build neural networks capable of recognizing images, classifying data, and solving real-world AI problems.

You'll learn how TensorFlow simplifies machine learning workflows while exploring neural networks, convolutional neural networks (CNNs), image classification, computer vision, and model optimization. Through practical coding exercises, you'll build AI models that understand visual data and prepare for more advanced deep learning topics.

Whether you're an aspiring AI engineer, machine learning developer, or software engineer, this course provides a strong practical foundation for building intelligent applications with TensorFlow.


Course Modules

Module 1 – A New Programming Paradigm

  1. Introduction to AI
  2. TensorFlow Basics
  3. Neural Network Fundamentals
  4. Building Your First Model

Module 2 – Introduction to Computer Vision

  1. Image Recognition
  2. Dataset Preparation
  3. TensorFlow Image Processing
  4. Classification Models

Module 3 – Enhancing Vision with Convolutional Neural Networks

  1. CNN Architecture
  2. Feature Extraction
  3. Improving Model Accuracy
  4. Image Classification

Module 4 – Using Real-world Images

  1. Working with Custom Datasets
  2. Real-world Computer Vision
  3. Model Evaluation
  4. Deployment Basics


What You Will Learn

  • Master TensorFlow fundamentals
  • Design deep neural networks
  • Build computer vision applications
  • Train CNN models effectively
  • Evaluate AI model performance
  • Process image datasets efficiently
  • Improve neural network accuracy
  • Apply TensorFlow to real-world AI projects
  • Build a foundation for advanced deep learning
  • Prepare for AI engineering careers

Course Prerequisites

Basic Python programming knowledge
High school mathematics
Familiarity with programming concepts
Interest in Artificial Intelligence
No prior TensorFlow experience required

Course Highlights

Official DeepLearning.AI Course
TensorFlow Hands-on Projects
Neural Network Fundamentals
Computer Vision Applications
Convolutional Neural Networks (CNNs)
Real-world Image Classification
Flexible Online Learning
Shareable Certificate
Beginner-Friendly TensorFlow Introduction
Industry-Relevant AI Skills

Tagged Topics & Skills

Categories:
Skills Mapped:
Python TensorFlow Machine Learning Deep Learning Computer Vision Artificial Intelligence Neural Networks Model Training AI Development Convolutional Neural Networks CNN Image Classification Deep Neural Networks Image Processing TensorFlow Keras

Ready to Start Learning?

Enroll directly on the official Coursera website to begin your lessons.

Open Course Website

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