Large Language Models (LLMs) and Generative AI
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Course Overview
Workshop Registration End Date :2025-01-24
Program Syllabus
Module 1
About
This workshop focuses on the fundamentals, advanced techniques, and real-world applications of Large Language Models (LLMs) and Generative AI. Participants will learn about state-of-the-art technologies like GPT, Transformers, and Diffusion Models. The program emphasizes hands-on training, enabling participants to create AI-driven solutions for text generation, creative content, chatbots, and more.
Module 2
Aim
To provide participants with in-depth knowledge and practical skills in understanding, building, and applying Large Language Models (LLMs) and Generative AI across various domains.
Module 3
Workshop Objectives
- To introduce participants to the architecture and capabilities of LLMs and Generative AI.
- To train participants in building, fine-tuning, and deploying LLM-based solutions.
- To explore diverse applications of generative AI across industries.
- To discuss ethical challenges and best practices in the use of LLMs and generative technologies.
- To prepare participants for roles in AI innovation and creative technology development.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Large Language Models (LLMs) and Generative AI
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 4
Workshop Structure
Module 5
Session Title: Foundations of Large Language Models and Generative AI
- Overview of LLMs and Generative AI
- What are Large Language Models?
- Evolution of Generative AI (from GPT to GPT-X).
- Key applications in research, academia, and industry.
- Core Concepts
- Natural Language Processing (NLP) basics.
- The architecture of LLMs: Transformer models and attention mechanisms.
- Ethical considerations: Bias, fairness, and responsible AI.
- Interactive Hands-on Activity
- Exploring pre-trained LLMs using open-source platforms like Hugging Face.
- Text generation and summarization examples.
Module 6
Session Title: Practical Applications of Generative AI
- Applications Across Domains
- Content creation: Automated writing and summarization.
- Research and teaching: Literature reviews and quiz generation.
- Industry use cases: Customer service, chatbots, and data analysis.
- Advanced Features and Fine-Tuning
- Customizing pre-trained models for specific domains.
- Techniques for fine-tuning LLMs.
- Interactive Hands-on Activity
- Experimenting with fine-tuning models for domain-specific tasks (e.g., research paper abstract generation, educational content creation).
- Participants will use platforms like Google Colab for practical implementation.
Module 7
Session Title: Scaling LLMs and Driving Innovations
- Emerging Trends in Generative AI
- Scaling models: Challenges and opportunities.
- Multimodal AI: Combining text, image, and video generation.
- Integrating LLMs with other technologies (e.g., IoT, blockchain).
- Collaborative AI and Innovations
- Co-creative systems: AI-human collaboration.
- Open research and AI democratization.
- Interactive Hands-on Activity
- Building a simple chatbot or assistant using pre-trained LLMs.
- Discussing deployment considerations in research, education, and industry.
- Closing Remarks and Q&A
- Recap of the workshop.
- Open discussion on implementing learnings in participants’ fields.
Module 8
Participant’s Eligibility
- AI and ML enthusiasts
- Data scientists and software engineers
- Content creators and marketers exploring generative AI
- Academics, students, and researchers in AI and natural language processing
- Professionals interested in leveraging LLMs for industry-specific applications
Module 9
Important Dates
Module 10
Registration Ends
2025-01-24
Indian Standard Timing 2:00 PM
Module 11
Workshop Dates
2025-01-24 to 2025-01-26
Indian Standard Timing 5 PM
Module 12
Workshop Outcomes
- Mastery of the principles and techniques behind LLMs and Generative AI
- Proficiency in fine-tuning and deploying LLMs for practical applications
- Skills to create AI-driven content and conversational systems
- Awareness of ethical, societal, and technical challenges in generative AI
- Insights into the latest trends and innovations in LLMs
Module 13
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 14
Student
INR. 1999
USD. 45
Module 15
Ph.D. Scholar / Researcher
INR. 2499
USD. 50
Module 16
Academician / Faculty
INR. 2999
USD. 55
Module 17
Industry Professional
INR. 4999
USD. 75
List of Currencies
Module 18
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 19
Future Career Prospects
- Natural Language Processing (NLP) Engineer
- AI Content Developer
- Generative AI Research Scientist
- Conversational AI Designer
- Product Manager for AI-Driven Applications
Module 20
Job Opportunities
- AI Engineer specializing in LLMs
- Creative Technologist using Generative AI
- Chatbot Developer
- Data Scientist for Text Analytics
- Researcher in AI Ethics and Governance
Module 23
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 24
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Large Language Models (LLMs) and Generative AI
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