India's #1 Certified Artificial Intelligence, From Beginners to Expert Level

Embark on a structured learning journey. Our 3-course pathway is designed for deep learning mastery. From the fundamentals to advanced AI models, you’ll gain expertise. Transform from a beginner to an AI expert.

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Course Details

Course 1: Deep Learning Fundamentals

This 6-8-week course covers deep learning fundamentals. It covers neural networks and essential math. You’ll gain a strong foundation to build AI models.

Strong Foundation ( Build a strong base in AI and neural networks)
Essential Math (Master the math needed for deep learning)
Neural Networks (Understand neural networks from the ground up)

Mathematics for Deep Learning

Master the math behind deep learning. Grasp linear algebra, calculus, and probability. These are essential for understanding deep learning.

Linear Algebra (Vectors, matrices, and operations are the building blocks.)
Calculus ( Gradient descent and backpropagation demystified )
Probability & Statistics( Essential for understanding deep learning models )

Building Artificial Neural Networks (ANNs)

Build ANNs from scratch. Explore perceptrons, activation functions, and loss functions. Master forward and backpropagation techniques.

Perceptrons (Understand activation and loss functions )
Forward & Backpropagation (Learn to train neural networks effectively.)
Hyperparameters (Master optimization techniques.)

Course 2: Advanced Deep Learning & Computer Vision

Dive into advanced techniques. This 10-week course covers CNNs, RNNs, and Transformers. Build AI that sees and understands.

CNNs ( Image processing techniques using CNNs )
RNNs ( Sequential data with RNNs.)
Transformers (Transformers for NLP.)

CNNs for Image Processing

Explore CNNs for image processing. Understand filters and feature maps. Build CNN architectures and apply transfer learning.

Filters ( Understand filters, feature maps, and pooling.)
Architectures ( Build CNN architectures like LeNet and VGG.)
Transfer Learning ( Fine-tune pre-trained models for efficiency.)

Course 3: Generative AI, Reinforcement Learning & Deployment

Master generative AI and reinforcement learning. This 12-week course teaches you to build and deploy AI solutions. Learn to generate content and train AI agents.

Generative AI (Build AI that generates images.)
Reinforcement Learning (Train AI to play games.)
Model Deployment( Deploy models for real-world applications.)

Generative AI & GANs

Delve into Generative AI and GANs. Understand GANs and Variational Autoencoders. Create AI-generated content like deepfakes and art.

GANs (Learn the power of Generative Adversarial Networks.)
Autoencoders (Master Variational Autoencoders.)
Content Generation (
Create deepfakes, art, and image synthesis.)

Suggested Learning Pathways

Choose the path that suits you. Beginners, start with Course 1. Developers, take Courses 2 & 3. For full mastery, complete all 3 courses.

AI Beginners ( Start with Course 1 for a strong foundation )
AI Developers ( Take Courses 2 & 3 to expand your skill set.)
Full Mastery ( Complete all 3 courses for deep learning mastery.)

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