Explore the Frontiers of Intelligence—Master LLMs and Multimodal AI
Cutting-Edge LLMs and Multimodal AI is an advanced-level program crafted for AI professionals, researchers, and developers who want to stay ahead in the rapidly evolving landscape of generative and multimodal intelligence. The course dives into the architecture, capabilities, and real-world applications of the latest LLMs (like GPT-4, Claude, Gemini, and LLaMA) and their integration with vision, audio, and sensor modalities to build powerful, human-like systems.
To provide in-depth knowledge and hands-on experience in advanced Large Language Models (LLMs) and multimodal AI systems that integrate text, image, speech, and video inputs for next-generation applications.
To advance learners’ understanding of modern LLM and multimodal architectures
To equip them with hands-on skills for building and deploying real-world AI systems
To explore use-cases across healthcare, law, media, and accessibility
To cultivate ethical, responsible practices in frontier AI development
Week 1: Next-Gen LLMs – Capabilities, Architecture, and Trends
Module 1: Deep Dive into Modern LLMs
Chapter 1.1: Evolution from GPT-3 to GPT-4, Claude, Gemini, and beyond
Chapter 1.2: Transformer Enhancements (Mixture of Experts, Long-Context, LoRA)
Chapter 1.3: Performance Benchmarks and Trade-offs
Chapter 1.4: Open vs. Closed Models (Open-source innovations: LLaMA, Mistral, Mixtral)
Module 2: Advanced Prompting and Fine-Tuning
Chapter 2.1: Structured Prompting Techniques (Zero/Few-shot, CoT, Tool-Use)
Chapter 2.2: Retrieval-Augmented Generation (RAG) Overview
Chapter 2.3: Fine-Tuning vs. Instruction Tuning vs. RLHF
Chapter 2.4: Evaluation and Safety Alignment Metrics
Week 2: Foundations of Multimodal AI Systems
Module 3: Language + Vision Models
Chapter 3.1: Multimodal Transformers (BLIP-2, Flamingo, GPT-4V, Gemini)
Chapter 3.2: Vision Encoding and Alignment with Text Embeddings
Chapter 3.3: Image Captioning, Visual Q&A, Scene Understanding
Chapter 3.4: Visual Prompting, Layout Understanding, Image-to-Text Inference
Module 4: Language + Other Modalities
Chapter 4.1: Audio-Language Systems (Whisper, AudioCraft, VALL-E)
Chapter 4.2: Video-Language Interaction (Sora, Pika Labs, RunwayML)
Chapter 4.3: Code + Text and Structural Models (Code LLMs, ReAct)
Chapter 4.4: Multimodal Embeddings and Cross-Modal Retrieval
Week 3: Applications, Ethics, and Future Outlook
Module 5: Industrial Applications and Innovation
Chapter 5.1: Multimodal AI in Search, Design, Robotics, and Healthcare
Chapter 5.2: Tool-Use and API-Augmented Agents (Auto-GPT, OpenAgents, ReAct)
Chapter 5.3: Agent Simulations, Planning, and Toolchains
Chapter 5.4: Case Studies: Enterprise LLM Use and Multimodal Integrations
Module 6: Ethics, Policy, and the Frontier of AI
Chapter 6.1: AI Hallucinations, Safety, and Guardrails
Chapter 6.2: AI Copyright, Content Authenticity, and Watermarking
Chapter 6.3: Regulation Trends and Global AI Policies
Chapter 6.4: What’s Next: Multimodal General Intelligence and Open Challenges
AI/ML practitioners, data scientists, software engineers, researchers
Prior knowledge of Python, LLMs, and basic neural network concepts
Ideal for professionals building AI tools and cross-modal applications
Participants will be able to:
Implement and deploy LLMs in multimodal settings
Integrate image, speech, and video with language models
Evaluate and optimize performance of cutting-edge AI systems
Design next-gen applications across sectors using GenAI
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
Join our mailing list for exclusive offers and course announcements
