Generative AI
Learn the fundamentals of Generative AI, including deep learning models, neural networks, and applications like text generation, image synthesis, and AI-powered creativity.
Course Detail
This course dives into the fundamentals of AI and deep learning, focusing on Generative AI techniques like GPT (ChatGPT), DALL·E, Stable Diffusion, and GANs. You’ll learn to build, train, and deploy AI models for tasks such as text generation, image synthesis, and AI automation.
Course Features
- Hands-on projects & AI model training
- Access to AI tools like GPT, DALL·E, and Stable Diffusion
- Practical experience in NLP, image generation & automation
- 24/7 expert mentor support & Q&A
- Industry-recognized AI certification
- Real-world case studies & AI project portfolio
- Learn AI & Deep Learning foundations
- Master Generative AI models like GPT, DALL·E & GANs
- Hands-on training with AI-powered chatbots & automation
- Implement AI in real-world applications (NLP, Vision, and Automation)
- Work on AI projects and deploy models on cloud platforms
- 4 weeks of course
- Recorded Sessions with 1 year access
- Access our classes on Web and Mobile
- Expert Instructors
- Interactive Learning Tools
Course Content
Foundations of Generative AI & Local Setup
- Overview of Generative AI
- Open-Source Models
- Local Setup
- Transformer Models
- Running Pre-trained Models
Generative Adversarial Networks (GANs) & Variational Autoencoders (VAEs)
- GAN Architecture
- Types of GANs
- VAEs
- Mode Collapse
- Super-resolution
- Image Synthesis
- Anomaly Detection
Fine-Tuning Large Language Models (LLMs) Locally
- Fine-tuning LLMs with LoRA
- Retrieval-Augmented Generation (RAG)
- Vector Databases (FAISS/Qdrant)
- Troubleshooting Fine-Tuning
Chatbot Development with Stream lit & API Integration
- Chatbot Basics
- Running LLMs Locally
- Using llama.cpp/Ollama
- Streamlit & Gradio UI
- Handling Context Memory
End-to-End Generative AI Application Deployment (Offline)
- Building an End-to-End AI App Locally
- Model Optimization with Quantization
- Packaging with PyInstaller
- Responsible AI
Payment & Refund Policy:
- Non-Refundable Fees: Once paid, course fees are strictly non-refundable under any circumstances.
- No Course Transfers: Enrollment in a specific course is final. No transfers or adjustments to another course will be allowed after payment.
- Strictly Personal Use: Course materials, including videos, notes, and resources, are for personal use only.
- No Unauthorized Sharing: Sharing, distributing, or reselling course content in any form is strictly prohibited.
- Legal Action: If we find that any course content, including videos, has been shared without authorization, legal action will be taken against the individual involved.
Embrace the power of digital learning and take the first step toward unlocking your full potential!
Tech Traniers