What careers can I pursue after learning deep learning basics?

This course helps you prepare for entry-level and intermediate roles such as AI Engineer, Machine Learning Engineer, Data Scientist, and AI Product positions. It also lays solid groundwork before diving into niche topics such as Generative AI.

Does this course cover Generative AI?

This course details the deep learning mechanisms that underlie generativeAI and introduces the underlying concepts such as neural networks and sequence learning. It is not specifically about GenAI tools, but rather a great foundation for anyone who wants to take on a Generative AI course.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Become AI-Ready: Deep Learning Fundamentals

Become AI-Ready: Deep Learning Fundamentals

Instructors: LearnKartS

Included with Learn more

Ask Coursera

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Understand how deep learning powers real AI systems, from ChatGPT to hospital diagnostics to financial forecasting
Train neural networks visually with TensorFlow Playground, watching forward pass and backpropagation happen live
Know when to use machine learning vs deep learning, so you pick the right approach for any given problem
Apply RNNs and LSTMs to sequence data like language, speech, and time-based patterns behind chatbots and forecasting

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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There are 3 modules in this course

Everyone talks about AI these days, but few people can actually explain how it works under the hood. This Deep Learning fundamentals course closes that gap by helping you learn how deep learning models are built, trained, & fixed when they get it wrong.

The course consists of three modules. First Module traces Deep Learning's journey from a brain-inspired idea to the engine behind ChatGPT, hospital & financial domain. Second Module takes you inside a neural network, using TensorFlow Playground to watch a model learn through forward pass and backpropagation. And the last module gets into RNNs and LSTMs, the models that give AI a sense of memory, so it can follow language, speech, and Time Data. it's ideal for both beginners & experienced professionals looking to build practical AI skills. What makes this Deep Learning course different is that you won't just read about neural networks here. You'll watch them train, live, tied to real-world use cases in GenAI, healthcare, and finance. By the end, you'll have solid ground for advanced Deep Learning & Generative AI work. Enroll now and start building the AI foundation employers actually look for.

This module builds the foundation of modern AI by explaining how deep learning evolved and why it powers today’s intelligent systems. You’ll understand how AI models learn from data and how neural networks were inspired by the human brain.

What's included

16 videos5 readings7 assignments

16 videosTotal 62 minutes

Why Deep Learning Is Powering Today’s AI Revolution1 minute
What You’ll Be Able to Do After This Deep Learning Course2 minutes
How Deep Learning Powers ChatGPT, Healthcare, and Finance Domain4 minutes
Why Data Type Matters More Than Algorithm in AI4 minutes
Learning Journey of Deep Learning till Gen AI3 minutes
AI vs Machine Learning vs Deep Learning — Finally Explained Clearly4 minutes
Types of Artifical Intelligence3 minutes
History of Deep Learning4 minutes
Imagenet Challenge - The Competition That Changed AI Forever5 minutes
Transfer learning3 minutes
Second Wave - The Moment Deep Learning Became Mainstream5 minutes
When to Use Machine Learning vs Deep Learning6 minutes
How AI Models Actually Learn From Data6 minutes
How the Human Brain Inspired Neural Networks4 minutes
How Activation Functions and Layers Power Neural Networks4 minutes
Artificial Neural Networks5 minutes

5 readingsTotal 45 minutes

Real-World Deep Learning Applications - How a Hospital Reduced Cancer Diagnosis Errors Using Deep Learning5 minutes
From Neural Networks to Generative AI: The Industry Shift10 minutes
Why Deep Learning Failed in the 1990s and Returned Stronger10 minutes
From ImageNet to Generative AI: Why Deep Learning Took Off10 minutes
How Biological Neurons Inspired Artificial Neural Networks10 minutes

7 assignmentsTotal 112 minutes

How AI, Machine Learning, and Deep Learning Actually Connect25 minutes
Evolution of Deep Learning - The Breakthrough Moments That Made Deep Learning Powerful20 minutes
How Machines Learn: From Brain Logic to Neural Networks15 minutes
Deep Learning Foundations and Real-World Applications8 minutes
Foundations of AI, Machine Learning, and Deep Learning16 minutes
Evolution of Deep Learning - The Breakthrough Moments That Made Deep Learning Powerful16 minutes
How Machines Learn: From Brain Logic to Neural Networks12 minutes

This module takes you inside neural networks to show how deep learning models actually learn using forward pass, parameters, and backpropagation. You’ll visually explore how models improve through training, errors, and optimization.

What's included

14 videos2 readings4 assignments

14 videosTotal 73 minutes

Intro to Tensorflow Playground - Train Your First Neural Network Visually6 minutes
Tensorflow playground Intro, Epochs7 minutes
Tensorflow Playground - Watch a Neural Network Learn in Real Time4 minutes
Tensorflow playground learning - Simple, medium complex cases6 minutes
When Neural Networks Fail — And How to Fix Them4 minutes
Parameters in Deep Learning : Tensorflow Playground1 minute
Forward pass - What Happens When Data Enters a Neural Network5 minutes
Learning - Neural networks7 minutes
Back Propagation - How Neural Networks Learn From Mistakes6 minutes
Backpropagation - Gradient descent7 minutes
Backpropagation Step-by-Step With Real Numbers5 minutes
Forward Pass + Backprop in Action using Network Simulator6 minutes
Forward Pass Calculations + Loss Computation in Action using Network Simulator5 minutes
Backpropagation + Weight Updates in Action using Network Simulator6 minutes

2 readingsTotal 20 minutes

Why Neural Networks Fail on Complex Patterns10 minutes
How Data Flows Through Deep Neural Networks10 minutes

4 assignmentsTotal 72 minutes

Train a Neural Network Visually Using TensorFlow Playground20 minutes
Forward Pass and Backpropagation — The Core of Deep Learning Training20 minutes
Train a Neural Network Visually Using TensorFlow Playground16 minutes
Forward Pass and Backpropagation — The Core of Deep Learning Training16 minutes

This module introduces sequence intelligence and explains how AI systems handle time-based and language data using memory models. You’ll learn how RNNs and LSTMs enable AI to understand context, sequences, and long-term dependencies.

What's included

10 videos4 readings4 assignments

10 videosTotal 42 minutes

RNN - Why Deep Learning Needed Memory Models1 minute
Sequence Modeling - How AI Understands Language, Speech, and Time Data5 minutes
Language Modeling and Need for RNN6 minutes
Recurrent Neural Networks (RNN) Concept and Network3 minutes
Recurrent Neural Networks (RNN) Flow and Working Mechanism5 minutes
Challenges in RNN5 minutes
How LSTM Solves the Memory Problem in Deep Learning4 minutes
Understanding LSTM Gate Operations and Information Flow5 minutes
LSTM Gradient Flow and Backpropagation Through Time3 minutes
Course Summary3 minutes

4 readingsTotal 32 minutes

Why Traditional Neural Networks Fail on Time-Based Data10 minutes
How RNNs Remember Previous Information10 minutes
Vanishing Gradient Problem Explained Without Math10 minutes
Course Completion2 minutes

4 assignmentsTotal 45 minutes

Why Deep Learning Needs Memory: Introduction to Sequence Modeling10 minutes
Recurrent Neural Networks Explained — And Why They Struggle15 minutes
Why Deep Learning Needs Memory: Introduction to Sequence Modeling8 minutes
Recurrent Neural Networks Explained — And Why They Struggle12 minutes

Instructors

LearnKartS

199 Courses243,244 learners

Offered by

LearnKartS

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Frequently asked questions

Deep learning fundamentals describe the core concepts that underlie neural networks, how models are trained based on data using layers, weights, biases, and activation functions. These ideas underpin contemporary AI systems, such as image recognition, speech processing, and smart decision-making.

Yes. This course is intended for beginners and professionals new to AI. It breaks deep learning down using intuitive explanations and easy-to-understand examples, bridging the gap between theory and practice – no AI expertise required.

Machine learning is a large field dedicated to the study of learning from data, whereas deep learning is one of its subfields that employs multi-layer neural networks. Deep learning powers AI superpowers like vision, language understanding, and pattern recognition.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

Become AI-Ready: Deep Learning Fundamentals

Become AI-Ready: Deep Learning Fundamentals

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 3 modules in this course

AI to Deep Learning: Foundations Behind Modern Intelligent Systems

What's included

16 videosTotal 62 minutes

5 readingsTotal 45 minutes

7 assignmentsTotal 112 minutes

Inside Neural Networks: How Deep Learning Models Actually Learn

What's included

14 videosTotal 73 minutes

2 readingsTotal 20 minutes

4 assignmentsTotal 72 minutes

Sequence Intelligence: RNNs, LSTMs, and AI Memory Systems

What's included

10 videosTotal 42 minutes

4 readingsTotal 32 minutes

4 assignmentsTotal 45 minutes

Instructors

Offered by

Explore more from Machine Learning

AI & Deep Learning Concepts and Applications

Deep Learning, NLP, and AI Applications

Deep Learning for AI Part 1

Deep Learning and Modern AI Architectures

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Unlock access to 10,000+ courses with a subscription

Advance your career with an online degree

Join over 4,700 global companies that choose Coursera for Business

Frequently asked questions

More questions

Become AI-Ready: Deep Learning Fundamentals

Become AI-Ready: Deep Learning Fundamentals

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 3 modules in this course

AI to Deep Learning: Foundations Behind Modern Intelligent Systems

What's included

Inside Neural Networks: How Deep Learning Models Actually Learn

What's included

Sequence Intelligence: RNNs, LSTMs, and AI Memory Systems

What's included

Instructors

Offered by

Explore more from Machine Learning

AI & Deep Learning Concepts and Applications

Deep Learning, NLP, and AI Applications

Deep Learning for AI Part 1

Deep Learning and Modern AI Architectures

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Unlock access to 10,000+ courses with a subscription

Advance your career with an online degree

Join over 4,700 global companies that choose Coursera for Business

Frequently asked questions

What are deep learning fundamentals?

Is this Coursera deep learning course suitable for beginners?

How is deep learning different from machine learning?

More questions