What You’ll Learn
- Core Concepts: Transformer architectures, GPT, LLaMA, Diffusion models
- Model Development: Prompt engineering, fine-tuning, LoRA (Low-Rank Adaptation)
- Content Generation: Text, images, audio, and video synthesis
- Integration: Building GenAI-powered chatbots, creative tools, and automation pipelines
- Optimization: RAG (Retrieval Augmented Generation), prompt chaining, multi-modal workflows
Tools & Technologies Covered:
- Frameworks: Hugging Face, LangChain, OpenAI API, Stability AI, TensorFlow, PyTorch
- Data Tools: Vector Databases (Pinecone, Weaviate, FAISS)
- Creative AI Tools: Midjourney, DALL·E, Stable Diffusion, Runway ML
- Deployment: Streamlit, Gradio, cloud AI services (AWS Sagemaker, Azure AI, Google Vertex AI)
Who Should Enroll
- AI/ML Engineers & Data Scientists — Looking to specialize in generative models
- Software Developers — Wanting to integrate AI-driven creativity into applications
- Designers & Content Creators — Exploring AI as a creative partner
- Business Innovators & Entrepreneurs — Building AI-powered products and services
- Students & Fresh Graduates — Starting a career in next-gen AI technologies
Why Choose Our Generative AI Training
- Hands-on projects with real-world AI content generation
- Led by industry experts in AI, ML, and creative automation
- Practical exercises: fine-tuning models, building multi-modal apps, deploying GenAI tools
- Curriculum aligned with the latest advancements in generative technology
- Career guidance with AI portfolio project reviews
- Placement assistance with AI-driven companies