Artificial Intelligence (AI) is transforming every industry — from healthcare to finance, entertainment to manufacturing. At the heart of this revolution lies Deep Learning, a powerful subset of machine learning that enables machines to think, learn, and adapt like humans. If you’ve ever wanted to explore this exciting field, the “Getting Started with Deep Learning” course by Analytics Vidhya is the perfect place to begin your journey.
Whether you’re a student, AI enthusiast, or a professional looking to upgrade your skills, this course offers an in-depth and hands-on introduction to the fascinating world of deep learning.
About the Course
Getting Started with Deep Learning is designed to help learners grasp the foundations of deep learning and neural networks through a structured, practical approach. The course is led by Kunal Jain, Founder & CEO of Analytics Vidhya, a globally recognized leader in Data Science education.
With over 27,000 learners enrolled and an impressive 4.8-star average rating, this intermediate-level course stands out for its clear explanations, real-world projects, and hands-on coding sessions using Python, TensorFlow, PyTorch, and Keras.
The course duration is 9 hours, making it concise yet comprehensive enough to help you build a solid understanding of how deep learning models function and are deployed.
What You’ll Learn
By the end of this course, you’ll have mastered key deep learning concepts and gained the ability to implement them in real-world scenarios.
Here’s what you’ll explore:
1. Deep Learning Fundamentals
Understand the foundations of deep learning, neural networks, and how they differ from traditional machine learning. Learn about supervised vs. unsupervised learning, model architecture, and training methods.
2. Neural Networks
Dive into the core of deep learning — the neural network. Learn about neurons, layers, activation functions, and how forward and backward propagation help models learn from data.
3. Convolutional and Recurrent Networks
Explore CNNs, RNNs, and LSTMs, and discover when and how to apply each for different data types such as images, text, and time-series.
4. Frameworks and Tools
Gain practical skills in Keras and PyTorch, two of the most widely used deep learning frameworks. You’ll build, train, and evaluate models from scratch using these libraries.
5. Real-World Applications
Learn how deep learning powers cutting-edge innovations such as image recognition, speech processing, recommendation systems, and generative AI tools.
Who Should Enroll
This course is ideal for:
- AI/ML Engineers & Data Scientists who want to strengthen their foundation in neural networks.
- Students and Researchers eager to explore practical AI applications.
- Developers and Beginners in AI who want to understand the “how” behind deep learning models.
No advanced prerequisites are required — just a basic understanding of Python and a curiosity to learn.
Course Curriculum Overview
The course follows a step-by-step structure:
- Introduction to Deep Learning
- What is Deep Learning & Why It Matters
- Neural Networks — Architecture & Components
- Forward and Backward Propagation
- Activation Functions & Optimization
- Building Models with Keras and PyTorch
- Understanding CNNs, RNNs, and LSTMs
- Real-World Projects & Case Studies
Each module includes practical demonstrations and mini-projects to ensure hands-on learning.
Instructor: Kunal Jain
The course is taught by Kunal Jain, a leading figure in the global Data Science community. With 15+ years of experience and a mission to make data science accessible to all, Kunal brings real-world insights and industry expertise to every lesson. As the CEO of Analytics Vidhya, he has helped millions of learners worldwide start and grow their careers in AI and data science.
Certificate and Career Benefits
Upon completion, you’ll receive a professional certificate that validates your deep learning expertise — an industry-recognized credential you can add to your resume, LinkedIn, or portfolio.
This certification opens doors to career opportunities such as:
- Deep Learning Engineer
- Machine Learning Developer
- AI Research Assistant
- Data Scientist
It’s also an excellent stepping stone toward advanced programs like AI/ML BlackBelt or GenAI Pinnacle Program.
Why Choose Analytics Vidhya?
Analytics Vidhya is India’s most trusted platform for AI and Data Science learning, offering:
- Expert-Led Courses by industry professionals
- Practical, Hands-On Projects
- Community Support with discussion forums and mentorship
- Career-Focused Certifications recognized by top employers
| Platform | Link |
|---|---|
| Apply Link:- | Click Here |
| Apply Link:- | Click Here (Official Link) |
| WhatsApp Group:- | Join Here |
| Telegram Group:- | Join Here |
Enroll Today — Build Your Deep Learning Career
Start your journey into AI innovation today. The Getting Started with Deep Learning course gives you everything you need — foundational theory, coding experience, and career-ready skills — to thrive in the AI-driven future.