Universal Deep Learning Mastery - 2026 Edition with Updated (Udemy.com)
Transform into a Deep Learning Expert Build Intuition from Single Neuron to Deep Neural Networks using Keras Tensorflow
Created by: Manifold AI Learning
Last updated January 2026
What you will learn
- Deep learning using Keras to implement various problems like Binary Classification, Multi Class classification, & Regression
- Intuition on Deep Learning Neural Networks by implementing the code in Python using Keras Library
- Learn Python to kick start Deep Learning journey
- Build intuition on Various Models in Deep learning and Learning algorithms in Deep learning
How it compares
Against the other 126 rated Udemy courses in Deep Learning on CourseDuck:
- Rating4.7 out of 5higher than 82% of them
- Reviews87#117 of 127 by number of reviews
- Length15.4 hourslonger than 71% of them
- Last updatedJanuary 2026more recently than 68% of them
Course Description
Yes.
AI is the new future, with the various technological advancements in hardware and software, Deep Learning algorithms are able to perform better compared to last decade. Combined with true power in hardware and research for better Deep Learning models, the field AI is growing exponentially.
With all the latest demand we have in this present world, We at ManifoldAILearning decided to create the course - DEEPLEARNING from Scratch- Keras TensorflowWith this course, you will kick start your journey into deep learning and build intuition on Deep Neural Networks with hands on exercise and high quality video tutorial.
This is the course structure of Deep learning :
Basic Nuts & Bolts of Deep LearningCrash Course on PythonUnderstanding various models in Deep learningImplement Deep learning neural networks usingkeras withTensorflow backendImplement Deep learning on common types of problems like Binary Classification, Multi Class classification & Regression*** Why Deep Learning 101 !!***Here are top reasons we think Deep Learning is best for you:
1. EXPERT DESIGNED COURSE STRUCTUREThe one challenge every learner finds is , getting lost in the topics of Deep Learning before stepping into it. Hence we focused on building a sold structure for this course, so that no matter what your skill level may be, you will find it intuitive on the concepts of Essentials required for kick starting your Deep learning journey.
With Exercise after each module will help you as a learner to gain knowledge as well as build confidence on the topics.
2. HIGH QUALITY INTUITIVE TUTORIALSWe want the students to gain intuition as well as knowing how to make it work by coding. So, we have divided our each topic into two sub sections, where we explain the concepts theoretically with intuitive videos as well as practical section to implement the topics we have learnt in theory section. This will make you, as a student to have a complete learning experience.
3. PRACTICAL HANDS-ON EXERCISEEvery practical section starts with us coding along with you , and explaining & build intuition as how each line works and behave. We believe this is important, as after the completion of this course, you should be able to apply to other datasets of your choice.
All the codes and data sets are also available for you to download & practice at your own pace.
We believe that this course will be very useful to you, as Deep learning 101 is designed to kick start your Deep Learning journey with required essentials and be a part of technological advancement which is driving today & Tomorrow's technology.
We believe that - " The best time to prepare for tomorrow's technology is by learning today ".
So Start now!! We will see you in Lesson 1 of Deep Learning 101- Team ManifoldAILearningWho this course is for:
Anyone looking to start career in Deep learningAnyone wants to build Deep learning - Neural networksAnyone wants to implement Deep Learning using KerasAnyone wants to learn to code in Python to implement Deep learningAnyone wants to be in Latest Trend in technology - Deep learning
Instructor Details
- 4.7 Rating
87 Reviews
Manifold AI Learning
Manifold AILearning is an online Academy with the goal to empower the students with the knowledge and skills that can be directly applied to solving the Real world problems in Data Science, Machine Learning and Artificial intelligence.
Checkout our instructor profile for the complete list of courses.
All the best for your Learning.
- Team ManifoldAILearning
"Learn the Future"
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Reviews
By Ilke Karsli Terjan on 9/17/2020
Couldn't find the code for the examples shown in the chapters. Course material is missing. Had to type all myself. Duplicating the work done. Not has been efficient for me
By Porus Suntoke on 7/11/2020
Instructor knows his material well. Starts from the basics and touches some advanced stuff. Overall, it is a good introductory course.
By Stephen Tokish on 7/7/2020
Good basic overview
By James on 5/9/2020
Pour le dbut, les bases du rseau de neurones sont bien abordes
By Aaron McKee on 2/15/2020
While I dont currently have the knowledge to know why we are normalizing the data in the way it is being done, nor would I have any idea what functions to use to perform the conversions, the instructions and steps are clear and easy to follow. I am sure with experimentation and experience those other skills can be had. I like the course so far and am looking forward to actually training some models
By Damodar Mahanta on 11/17/2019
Very nicely step by step elaborated the neural network for easy understanding. The tutorial is designed very methodical way to make the subject interesting. I can confidently say that this tutorial will definitely help the student who wants to learn neural network.
By Edward Sanchiaz on 11/10/2019
Excellent course on Deep learning, i liked the chapter wise assignments for each concept in deep learning. Helped me to build hands-on knowledge on the topics. Good course
By Bhavesh on 9/10/2019
course structure is very good. The complex concept of deep neural networks has been taught in a very easy to follow step by step process. i liked it
By Sangeetha Shetty on 8/17/2019
best explanation & video visual for explaining the neural networks and basics
By Lokesh on 8/11/2019
One of the best course, very informative & the author has started from really basics which helped me a lot, and then built the concepts around it.
By Siva Prasad on 5/17/2019
i liked the way the learning progressed from working on Single Neuron, then implementing deep neural networks. good structure in learning
By Kanna on 2/20/2019
good
Quality Score
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Overall Score : 94 / 100











