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Level
Intermediate
Duration
1 Month
Seats
100 (Batch-1)
Course Type
Online
1-months long online
Generative AI with LLM Workshop
Work on real projects, Collaborate with like-minded individuals, Learn from industry experts
Career-ready skills that AI employers are actively seeking.
Hands-on experience with real AI projects, Expertise in building solutions with cutting-edge LLMs
Who is it for
Software Developers
Having basic experience in working with production apps. Knows JavaScript, Python, React, Node.js etc. And who wants to have a future- ready career.
Product Managers
Interested in building own AI product or build product for their employer organization. Having coding knowledge is +plus.
Startup Founders
Founders who have an idea or already working on an idea. Who might need some expert help to launch fast.
Students
Students who wants be a future leader and is a problem solver. Having basic knowledge of JavaScript or Python and is a quick learner.
33% OFF
For Students only
TK 15,000
TK 10,000
Learn by building projects
Vercel vO Clone
a powerful tool for generating high-quality UIs and code.
Voice Processing
transcribes & analyzes voice complaints.
Financial Analysis & Automation
personal investments analysis & management .
Work on your own Project Idea
submit your own project idea,
build it with us and launch it
What's covered in the Workshop?
Learning phase
- Basic syntax, functions, and data structures
- Essential libraries for LLM development
- What are LLMs?
- Key concepts and terminology
- Architecture of LLM models (short)
- Tokenization and embeddings
- Training and inference processes
- Principles of effective prompting
- Zero-shot, one-shot, and few-shot learning
- Prompt templates and best practices
- Introduction to fine-tuning
- Using Gemini's interface for fine-tuning
- Evaluating fine-tuned models
- Fundamentals of RAG
- Introduction to vector databases
- Implementing RAG systems
- Concept of AI agents
- Integrating LLMs into agent systems
- Use cases and limitations
- Combining LLMs with other AI models
- Speech-to-text and text-to-speech integration
- Image models and LLMs
- Introduction to LangChain
- Building applications with LangChain
- Best practices and common patterns
- Understanding LangGraph
- Creating complex workflows
- Integrating with LangChain
- Working with LLM APIs
- RESTful API design for LLM applications
- Handling authentication and rate limiting
- Project planning and requirements gathering
- Designing conversational interfaces
- Implementing RAG in chatbots
- Deployment and scaling considerations
- Identifying automation opportunities
- Implementing LLM-based automation tasks
- Best practices and limitations
- Preparing custom datasets
- Fine-tuning techniques for specific tasks
- Evaluating and iterating on fine-tuned models
- When to use (and not use) LLMs
- Ethical considerations in LLM applications
- Bias and fairness in language models
- Current applications of LLMs in various industries
- Success stories and lessons learned
- Emerging trends and future prospects
- Overview of free LLM APIs and services
- Open-source LLM projects and libraries
- Community resources and learning platforms
Building phase
- Apply the knowledge and skills acquired during the learning phase to create a project that you have selected from our list
- Leveraging the insights gained from previous dummy projects, to develop real-world applications that showcase your capabilities and prepare you for future challenges in the industry
- Participate in live sessions designed to guide you through product ideation, building & validation. These interactive sessions will allow you to join discussions while building your projects, providing real-time feedback and support
- You will also have weekly office hours to clear out your confusions with our instructors
- Conclude the phase with a final product showcase, where you will present your work and receive personalized feedback from peers, mentors and industry professionals
Now is the time to build your AI skills!
Building skills for tomorrow
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