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Take the Lead in AI Revolution!

The demand for AI-proficient developers is 🚀 skyrocketing, and the opportunity to stand out is NOW. Don’t let someone else take your spot!

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Level

Intermediate

Duration

1 Month

Seats

100 (Batch-1)

Course Type

Online

REAL WORLD PROJECTS

1-months long online
Generative AI with LLM Workshop

Work on real projects, Collaborate with like-minded individuals, Learn from industry experts

WHAT YOU WILL GAIN

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

NEW RATIO PROGRAM

Meet our Instructors

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Nasim Uddin

Founder, CONNEKT STUDIO

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Aukik Aurnab

CTO, bismo

Learn by building projects

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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

Module 1: Foundations
  • 1. Python Crash Course (2 hours max)
    • Basic syntax, functions, and data structures
    • Essential libraries for LLM development
  • 2. Introduction to Large Language Models
    • What are LLMs?
    • Key concepts and terminology
    Module 2: Core LLM Technologies
  • 1. Basics of LLMs
    • Architecture of LLM models (short)
    • Tokenization and embeddings
    • Training and inference processes
  • 2. Prompt Engineering
    • Principles of effective prompting
    • Zero-shot, one-shot, and few-shot learning
    • Prompt templates and best practices
  • 3. Fine-tuning LLMs
    • Introduction to fine-tuning
    • Using Gemini's interface for fine-tuning
    • Evaluating fine-tuned models
    Module 3: Advanced LLM Techniques
  • 1. Retrieval-Augmented Generation (RAG) and Vector Databases
    • Fundamentals of RAG
    • Introduction to vector databases
    • Implementing RAG systems
  • 2. AI Agents and LLMs
    • Concept of AI agents
    • Integrating LLMs into agent systems
    • Use cases and limitations
  • 3. Multimodal AI Integration
    • Combining LLMs with other AI models
    • Speech-to-text and text-to-speech integration
    • Image models and LLMs
    Module 4: LLM Development Frameworks
  • 1. LangChain
    • Introduction to LangChain
    • Building applications with LangChain
    • Best practices and common patterns
  • 2. LangGraph
    • Understanding LangGraph
    • Creating complex workflows
    • Integrating with LangChain
  • 3. API Integration
    • Working with LLM APIs
    • RESTful API design for LLM applications
    • Handling authentication and rate limiting
    Module 5: Practical Applications
  • 1. Building RAG-based Chatbots (Project)
    • Project planning and requirements gathering
    • Designing conversational interfaces
    • Implementing RAG in chatbots
    • Deployment and scaling considerations
  • 2. Building LLM-powered Automation (Project)
    • Identifying automation opportunities
    • Implementing LLM-based automation tasks
    • Best practices and limitations
  • 3. Custom LLM Fine-tuning
    • Preparing custom datasets
    • Fine-tuning techniques for specific tasks
    • Evaluating and iterating on fine-tuned models
    Module 6: Industry Insights and Best Practices
  • 1. AI Philosophy and Ethics
    • When to use (and not use) LLMs
    • Ethical considerations in LLM applications
    • Bias and fairness in language models
  • 2. Industry Scenarios and Case Studies
    • Current applications of LLMs in various industries
    • Success stories and lessons learned
    • Emerging trends and future prospects
  • 3. Free AI Tools and Resources
    • Overview of free LLM APIs and services
    • Open-source LLM projects and libraries
    • Community resources and learning platforms

    Building phase

    Module 7: Build Industry Standard Projects
    • 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
    Module 8: Live Product Building Sessions & Office Hours
    • 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!

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    Building skills for tomorrow

    Contact Us

    contact@ratioplatform.com

    Level 11 & 12, Medona Tower

    28 Mohakhali C/A, Dhaka 1213

    ©2024,Bismo Technologies Limited