Shaping Tomorrow with AI.

This comprehensive Deep Learning course covers neural network fundamentals, advanced architectures, and cutting-edge techniques in artificial intelligence. Students will master convolutional neural networks, recurrent networks, transformers, generative models, and reinforcement learning. The course emphasizes both theoretical understanding and practical implementation using modern frameworks like TensorFlow and PyTorch.

• Week 1: Neural Network Fundamentals
• Week 2: Backpropagation and Optimization
• Week 3: Deep Learning Frameworks
• Week 4: Convolutional Neural Networks - Foundations
• Week 5: Advanced CNN Architectures
• Week 6: Computer Vision Applications
• Week 7: Advanced Computer Vision
• Week 8: Recurrent Neural Networks
• Week 9: Attention and Transformers
• Week 10: Advanced NLP with Transformers
• Week 11: Generative Models - Part 1
• Week 12: Generative Models - Part 2
• Week 13: Reinforcement Learning
• Week 14: Advanced Topics and Deployment

Program Fees (18% GST Extra)

• Online : ₹25000
• Hybrid : ₹30000

This comprehensive Computer Vision course covers fundamental image processing concepts, classical computer vision techniques, and modern deep learning approaches for visual understanding. Students will gain practical experience with image classification, object detection, segmentation, and advanced applications including generative models and video analysis.

• Week 1: Foundations of Computer Vision
• Week 2: Image Processing Fundamentals
• Week 3: Feature Detection and Description
• Week 4: Geometric Transformations and Calibration
• Week 5: Classical Machine Learning for Vision
• Week 6: Deep Learning Foundations
• Week 7: Advanced Deep Learning
• Week 8: Object Detection and Localization
• Week 9: Advanced Vision Tasks
• Week 10: Specialized Applications & Current Trends

Program Fees (18% GST Extra)

• Online : ₹35000
• Hybrid : ₹40000

This comprehensive Natural Language Processing course covers fundamental concepts, statistical methods, machine learning techniques, and modern deep learning approaches for processing and understanding human language. Students will gain hands-on experience with real-world NLP applications including sentiment analysis, machine translation, question answering, and text generation.

• Week 1: Foundations of NLP
• Week 2: Statistical Foundations
• Week 3: Machine Learning for NLP
• Week 4: Advanced Text Processing
• Week 5: Word Embeddings
• Week 6: Deep Learning for NLP
• Week 7: Advanced Deep Learning
• Week 8: Information Extraction & Retrieval
• Week 9: Advanced Applications
• Week 10: Current Trends & Final Projects

Program Fees (18% GST Extra)

• Online : ₹35000
• Hybrid : ₹40000

This specialized Generative Models course explores the cutting-edge field of generative artificial intelligence, covering theoretical foundations and practical implementations of models that can create new content. Students will master Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, Flow-based Models, and Transformer-based generative systems. The course emphasizes both understanding the mathematical principles and building state-of-the-art generative applications for images, text, audio, and multimodal content.

• Week 1: Foundations of Generative Modeling
• Week 2: Autoencoders and Representation Learning
• Week 3: Advanced VAE Architectures
• Week 4: Generative Adversarial Networks - Foundations
• Week 5: Advanced GAN Architectures
• Week 6: Specialized GAN Applications
• Week 7: Diffusion Models - Theory and Foundations
• Week 8: Advanced Diffusion Models
• Week 9: Autoregressive and Transformer-based Generation
• Week 10: Multimodal and Advanced Generative Systems
• Week 11: Production and Optimization
• Week 12: Ethics, Applications, and Future Directions

Program Fees (18% GST Extra)

• Online : ₹40000
• Hybrid : ₹45000

This comprehensive Agentic AI course equips learners with the conceptual foundations, practical tools, and applied techniques to build autonomous AI agents that can plan, reason, collaborate, and adapt in real-world contexts. The course covers programming fundamentals, AI/ML basics, large language models, embeddings, retrieval-augmented generation (RAG), multi-agent systems, and advanced deployment practices. Learners will gain hands-on experience with state-of-the-art frameworks including LangChain, Flowise, CrewAI, AutoGen, Hugging Face, and OpenAI APIs. The program culminates in a capstone project where students design and deploy a fully functional AI agent.

• Week 1: Course Foundations & Python Refresher
• Week 2: Programming Fundamentals for Agents
• Week 3: Introduction to AI & ML Concepts
• Week 4: Fundamentals of Agentic AI
• Week 5: Agentic Tools in Python
• Week 6: Large Language Models (LLMs)
• Week 7: Embedding Models and Vector Search
• Week 8: Agent Architectures and Multi-Agent Collaboration
• Week 9: Planning and Decision-Making in Agents
• Week 10: Memory and Knowledge Retrieval in Agents
• Week 11: Prompt Engineering and Adaptive Agents
• Week 12: Advanced RAG and Deployment
• Week 13: Monitoring, Debugging, and Evaluation
• Week 14: Ethics, Governance, and Real-World Applications
• Week 15: Capstone Project & Final Presentations

Program Fees (18% GST Extra)

• Online : ₹45000
• Hybrid : ₹50000

This comprehensive Deep Learning course covers neural network fundamentals, advanced architectures, and cutting-edge techniques in artificial intelligence. Students will master convolutional neural networks, recurrent networks, transformers, generative models, and reinforcement learning. The course emphasizes both theoretical understanding and practical implementation using modern frameworks like TensorFlow and PyTorch.

• Week 1: Neural Network Fundamentals
• Week 2: Backpropagation and Optimization
• Week 3: Deep Learning Frameworks
• Week 4: Convolutional Neural Networks - Foundations
• Week 5: Advanced CNN Architectures
• Week 6: Computer Vision Applications
• Week 7: Advanced Computer Vision
• Week 8: Recurrent Neural Networks
• Week 9: Attention and Transformers
• Week 10: Advanced NLP with Transformers
• Week 11: Generative Models - Part 1
• Week 12: Generative Models - Part 2
• Week 13: Reinforcement Learning
• Week 14: Advanced Topics and Deployment

Program Fees (18% GST Extra)

• Online : ₹25000
• Hybrid : ₹30000

This comprehensive Computer Vision course covers fundamental image processing concepts, classical computer vision techniques, and modern deep learning approaches for visual understanding. Students will gain practical experience with image classification, object detection, segmentation, and advanced applications including generative models and video analysis.

• Week 1: Foundations of Computer Vision
• Week 2: Image Processing Fundamentals
• Week 3: Feature Detection and Description
• Week 4: Geometric Transformations and Calibration
• Week 5: Classical Machine Learning for Vision
• Week 6: Deep Learning Foundations
• Week 7: Advanced Deep Learning
• Week 8: Object Detection and Localization
• Week 9: Advanced Vision Tasks
• Week 10: Specialized Applications & Current Trends

Program Fees (18% GST Extra)

• Online : ₹35000
• Hybrid : ₹40000

This specialized Generative Models course explores the cutting-edge field of generative artificial intelligence, covering theoretical foundations and practical implementations of models that can create new content. Students will master Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, Flow-based Models, and Transformer-based generative systems. The course emphasizes both understanding the mathematical principles and building state-of-the-art generative applications for images, text, audio, and multimodal content.

• Week 1: Foundations of Generative Modeling
• Week 2: Autoencoders and Representation Learning
• Week 3: Advanced VAE Architectures
• Week 4: Generative Adversarial Networks - Foundations
• Week 5: Advanced GAN Architectures
• Week 6: Specialized GAN Applications
• Week 7: Diffusion Models - Theory and Foundations
• Week 8: Advanced Diffusion Models
• Week 9: Autoregressive and Transformer-based Generation
• Week 10: Multimodal and Advanced Generative Systems
• Week 11: Production and Optimization
• Week 12: Ethics, Applications, and Future Directions

Program Fees (18% GST Extra)

• Online : ₹40000
• Hybrid : ₹45000

This comprehensive Deep Learning course covers neural network fundamentals, advanced architectures, and cutting-edge techniques in artificial intelligence. Students will master convolutional neural networks, recurrent networks, transformers, generative models, and reinforcement learning. The course emphasizes both theoretical understanding and practical implementation using modern frameworks like TensorFlow and PyTorch.

• Week 1: Neural Network Fundamentals
• Week 2: Backpropagation and Optimization
• Week 3: Deep Learning Frameworks
• Week 4: Convolutional Neural Networks - Foundations
• Week 5: Advanced CNN Architectures
• Week 6: Computer Vision Applications
• Week 7: Advanced Computer Vision
• Week 8: Recurrent Neural Networks
• Week 9: Attention and Transformers
• Week 10: Advanced NLP with Transformers
• Week 11: Generative Models - Part 1
• Week 12: Generative Models - Part 2
• Week 13: Reinforcement Learning
• Week 14: Advanced Topics and Deployment

Program Fees (18% GST Extra)

• Online : ₹25000
• Hybrid : ₹30000

This comprehensive Natural Language Processing course covers fundamental concepts, statistical methods, machine learning techniques, and modern deep learning approaches for processing and understanding human language. Students will gain hands-on experience with real-world NLP applications including sentiment analysis, machine translation, question answering, and text generation.

• Week 1: Foundations of NLP
• Week 2: Statistical Foundations
• Week 3: Machine Learning for NLP
• Week 4: Advanced Text Processing
• Week 5: Word Embeddings
• Week 6: Deep Learning for NLP
• Week 7: Advanced Deep Learning
• Week 8: Information Extraction & Retrieval
• Week 9: Advanced Applications
• Week 10: Current Trends & Final Projects

Program Fees (18% GST Extra)

• Online : ₹35000
• Hybrid : ₹40000

This specialized Generative Models course explores the cutting-edge field of generative artificial intelligence, covering theoretical foundations and practical implementations of models that can create new content. Students will master Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, Flow-based Models, and Transformer-based generative systems. The course emphasizes both understanding the mathematical principles and building state-of-the-art generative applications for images, text, audio, and multimodal content.

• Week 1: Foundations of Generative Modeling
• Week 2: Autoencoders and Representation Learning
• Week 3: Advanced VAE Architectures
• Week 4: Generative Adversarial Networks - Foundations
• Week 5: Advanced GAN Architectures
• Week 6: Specialized GAN Applications
• Week 7: Diffusion Models - Theory and Foundations
• Week 8: Advanced Diffusion Models
• Week 9: Autoregressive and Transformer-based Generation
• Week 10: Multimodal and Advanced Generative Systems
• Week 11: Production and Optimization
• Week 12: Ethics, Applications, and Future Directions

Program Fees (18% GST Extra)

• Online : ₹40000
• Hybrid : ₹45000

This comprehensive Deep Learning course covers neural network fundamentals, advanced architectures, and cutting-edge techniques in artificial intelligence. Students will master convolutional neural networks, recurrent networks, transformers, generative models, and reinforcement learning. The course emphasizes both theoretical understanding and practical implementation using modern frameworks like TensorFlow and PyTorch.

• Week 1: Neural Network Fundamentals
• Week 2: Backpropagation and Optimization
• Week 3: Deep Learning Frameworks
• Week 4: Convolutional Neural Networks - Foundations
• Week 5: Advanced CNN Architectures
• Week 6: Computer Vision Applications
• Week 7: Advanced Computer Vision
• Week 8: Recurrent Neural Networks
• Week 9: Attention and Transformers
• Week 10: Advanced NLP with Transformers
• Week 11: Generative Models - Part 1
• Week 12: Generative Models - Part 2
• Week 13: Reinforcement Learning
• Week 14: Advanced Topics and Deployment

Program Fees (18% GST Extra)

• Online : ₹25000
• Hybrid : ₹30000

This comprehensive Agentic AI course equips learners with the conceptual foundations, practical tools, and applied techniques to build autonomous AI agents that can plan, reason, collaborate, and adapt in real-world contexts. The course covers programming fundamentals, AI/ML basics, large language models, embeddings, retrieval-augmented generation (RAG), multi-agent systems, and advanced deployment practices. Learners will gain hands-on experience with state-of-the-art frameworks including LangChain, Flowise, CrewAI, AutoGen, Hugging Face, and OpenAI APIs. The program culminates in a capstone project where students design and deploy a fully functional AI agent.

• Week 1: Course Foundations & Python Refresher
• Week 2: Programming Fundamentals for Agents
• Week 3: Introduction to AI & ML Concepts
• Week 4: Fundamentals of Agentic AI
• Week 5: Agentic Tools in Python
• Week 6: Large Language Models (LLMs)
• Week 7: Embedding Models and Vector Search
• Week 8: Agent Architectures and Multi-Agent Collaboration
• Week 9: Planning and Decision-Making in Agents
• Week 10: Memory and Knowledge Retrieval in Agents
• Week 11: Prompt Engineering and Adaptive Agents
• Week 12: Advanced RAG and Deployment
• Week 13: Monitoring, Debugging, and Evaluation
• Week 14: Ethics, Governance, and Real-World Applications
• Week 15: Capstone Project & Final Presentations

Program Fees (18% GST Extra)

• Online : ₹45000
• Hybrid : ₹50000