Learn Deep Learning new Online: Free Course with AI Tutor & Certificate
Modern applications require computers to recognize patterns in massive datasets, but building these systems from scratch is complex. This free deep learning tutorial solves that. Over 15 hours, you'll learn to train neural networks using PyTorch. You will master sequence modeling and generative models across 57 video lessons.
Deep Learning new course syllabus
01 Python and Math Foundations for Deep Learning
- Introduction to NumPy: Why It's Faster Than Lists
- Core NumPy: Array Creation, Indexing, and Slicing
- NumPy for Data Science: Math, Statistics, and Advanced Indexing
- NumPy arrays and operations
- Introduction & Core Mathematical Prerequisites
- Geometric & Trigonometric Prerequisites
- Advanced Geometric Concepts & Orthogonality
- Prerequisite Review and Refresher
- Calculus basics for neural networks
- Matplotlib for plotting data
02 Neural Network Fundamentals
- Perceptron explained
- Activation functions overview
- Backpropagation intuition
- Gradient descent explained
- Loss functions in neural networks
- Overfitting and regularization techniques
03 PyTorch Basics and Tensors
- PyTorch installation and setup
- PyTorch tensors tutorial
- Autograd in PyTorch
- Building a simple neural network in PyTorch
- Training loop in PyTorch
- Saving and loading PyTorch models
04 Computer Vision with CNNs
- Introduction to Convolutional Neural Networks
- How convolution layers work
- Pooling layers explained
- Building a CNN for image classification
- Transfer learning with ResNet
- Data Preparation and Preprocessing for Flower Classification
- Building a CNN and Overcoming Overfitting with Data Augmentation
05 Sequence Modeling with RNNs and LSTMs
- Introduction to Recurrent Neural Networks
- Understanding vanishing gradients in RNNs
- LSTM architecture explained
- GRU vs LSTM comparison
- Text classification with RNNs
- Time series forecasting with LSTMs
06 Generative Models and Transformers
- Introduction to the Transformer architecture
- Attention mechanism explained
- BERT model overview
- Introduction to GANs
- Fine-tuning Hugging Face models
- Diffusion models explained
07 Deployment and MLOps Basics
- Introduction to Serverless ML & Model Preparation
- Building a Local Docker Container for a Scikit-learn Lambda
- Deploying the Dockerized Model to AWS Lambda via ECR
- Converting a Keras Deep Learning Model to ONNX Format
- Preparing the Model and Prediction Script
- Creating and Testing a Flask API
- Production Serving with Gunicorn and Docker
- Deploying to AWS Elastic Beanstalk
- Introduction to Docker for machine learning
- Project Introduction and Proposed Solution
- Detailed Project Plan and Data Sourcing
- Data Preprocessing and Exploratory Data Analysis (EDA)
- Setting Up MLflow on AWS and Tracking a Test Run
- The Role and Definition of ML Model Monitoring
- Why Monitor ML Models: Key Drivers and Challenges
- Implementing ML Monitoring: Tools and Techniques
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Deep Learning new course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Software developers wanting to transition into AI and machine learning roles.
- Data analysts looking to upgrade their predictive modeling skills with neural networks.
- Computer science students in India preparing for technical interviews at top tech firms.
- Tech professionals needing practical PyTorch experience for production environments.
Prerequisites
- Basic knowledge of Python programming is required to follow along with the code examples.
- Familiarity with high school level calculus and linear algebra concepts.
- A working computer with an internet connection to run Python scripts.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Deep Learning new course: free, structured and job-focused
AI models are taking over tasks like image recognition and text generation, but understanding the math and code behind them can feel overwhelming. This deep learning python course breaks down those barriers. You'll start by mastering the fundamentals in the Python and Math Foundations for Deep Learning module, kicking off with the very first lesson, Introduction to NumPy: Why It's Faster Than Lists. From there, we guide you through Neural Network Fundamentals so you understand exactly how machines learn from data.
As you progress through this deep learning syllabus, you will get hands-on experience building real models. The PyTorch Basics and Tensors module prepares you for advanced frameworks. You'll then tackle Computer Vision with CNNs to process images, followed by Sequence Modeling with RNNs and LSTMs for time-series and text data. Finally, the curriculum covers Generative Models and Transformers, ending with Deployment and MLOps Basics. By the time you finish, you will know how to build and deploy complex AI systems.
LearnTube makes mastering these topics simple and effective. You learn by watching expertly curated YouTube videos, while our AI tutor tests your knowledge with a quick quiz after every single lesson. It is completely free to learn, and you can purchase an optional certificate once you complete all 7 modules. Join over 60,000 learners and upgrade your AI skills today.
Jobs you can target after learning Deep Learning new
Deep Learning new is a gateway skill for some of the fastest-growing roles in tech.
Designs and trains complex neural networks for specialized tasks like computer vision.
Deploys AI models into production and maintains MLOps pipelines.
Analyzes large datasets using advanced sequence modeling and statistical tools.
Builds systems that process and interpret digital images using CNNs.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Deep Learning new certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Deep Learning new course.
Is this deep learning course entirely self-paced?
Yes. You can watch the 57 video lessons whenever you have free time. The platform tracks your progress, allowing you to pause your studies and resume exactly where you left off on any device.
How long does it take to complete the deep learning syllabus?
The curriculum requires about 15 hours to finish. Most learners complete the 7 modules over two or three weeks by dedicating an hour each day to watching videos and answering the AI tutor quizzes.
Can I study this deep learning tutorial on my mobile phone?
Absolutely. LearnTube is fully optimized for mobile browsers and devices. You can easily watch the video lessons, take the quizzes, and review your Python and PyTorch notes while commuting or traveling.
What will I be able to build after finishing these classes?
You will be able to construct and train your own neural networks using PyTorch. You'll know how to process images with CNNs and build sequence models with RNNs for natural language processing tasks.
Is deep learning still a good career choice in India?
Yes. Companies heavily rely on AI for everything from recommendation engines to automated customer support. Mastering generative models and MLOps makes you highly valuable to employers looking to integrate smart features into their products.
Do I get a deep learning certification when I finish?
You can purchase an optional certificate after passing the quizzes for all 7 modules. The learning content itself remains completely free, but the paid certificate helps verify your new skills to potential employers.
Do I have to log in at specific times for this deep learning program?
No. The platform uses pre-recorded, curated YouTube videos paired with instant AI quizzes. This format lets you learn complex math and coding concepts at your own speed without worrying about strict schedules.
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