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Mastering ChatGPT

4 days, 5 hours per day

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About ChatGPT Course

Harness the Potential of ChatGPT for Business Success

Join our comprehensive two 4-day training program specializations to master ChatGPT and learn how to leverage its capabilities for a wide range of applications.

  • Gain a comprehensive understanding of ChatGPT and AI technology.

  • Develop practical skills through hands-on activities and real-world examples.

  • Create custom chatbots and applications tailored to your business needs.

  • Network with AI practitioners, developers, and business professionals.

  • Receive a certificate upon successful completion of the course.

Unlock the potential of AI and ChatGPT for your business success. Limited spots available, so reserve yours now!

ChatGPT Training Program Schedule

Masterclass on ChatGPT & Large Language Models

Participants will delve into ChatGPT and Large Language Models, starting with practical applications and prompt engineering. The course then explores the essentials of LLMs and Transformers. By the end, attendees will master skills from chatbot creation to designing LLMs.

Saturdays: 21-28 OCT | 11-18 NOV 2023

Practical Applications of ChatGPT

This specialization offers a deep dive into the world of ChatGPT, showcasing its prowess as a leading AI language model. Participants will journey from understanding ChatGPT's origins to mastering prompt engineering and will explore its broad applications across sectors like business, research, education and more.

  • 01

    Prompt Engineering Mastery

    Delve into the art and science of prompt engineering, acquiring both foundational and advanced techniques.

  • 02

    ChatGPT in Diverse Sectors

    Discover how ChatGPT can be a game-changer, from fueling startup ideas to transforming research & education.

  • 03

    Customize ChatGPT for Your Business

    Understand the core principles of LLMs, including their lifecycle, refinement techniques, and the mechanics of efficiency fine-tuning and reinforcement learning.

ChatGPT for Research, Education, and Coding

28 OCT 2023

Overview

Day 2 delves into ChatGPT's multifaceted applications in research, coding, and education. Participants will learn how ChatGPT aids in refining academic papers, streamlining code generation, and shaping educational curricula. Through hands-on sessions, attendees will experience firsthand the transformative potential of ChatGPT across these domains, emphasizing practical applications and real-world impact.

Learning Outcomes:

  • 01

    Research Enhancement with ChatGPT

    Enhance research papers and interpret results using ChatGPT.

  • 02

    Coding Assistance with ChatGPT

    Generate, debug, and document code with ChatGPT's assistance.

  • 03

    Education Design using ChatGPT

    Design and align educational curricula leveraging ChatGPT's insights.

Outline:

  • 01

    Research Applications with ChatGPT

    - Paper Review and Editing: Collaborative review and editing assistance using ChatGPT.
    - Complex Latex Editing Techniques: Latex optimization and formatting assistance with ChatGPT.
    - Results Analysis and Interpretation: Data insights and interpretative assistance with ChatGPT.

  • 02

    Coding Applications with ChatGPT

    - Code Writing, Debugging, and Optimization: Code generation, debugging assistance, and performance enhancement using ChatGPT.
    - Transforming Descriptions into Code and Pseudo-code: Description translation and pseudo-code generation with ChatGPT.
    - Code Documentation and Annotation: Documentation creation and code annotation with ChatGPT.

  • 03

    Teaching Applications with ChatGPT

    - Curriculum Design and Learning Outcome Formulation: Course structuring and defining and mapping learning objectives (CLO, PLO) with ChatGPT.
    - Mapping Course Outcomes to Program Outcomes: Course report and evaluation strategies with ChatGPT.
    - Designing Assessments and Solution Models: Crafting effective assessments and designing solution models using ChatGPT.

ChatGPT for Business Professionals

11 NOV 2023

Overview

Day 3 explores ChatGPT's transformative role for business professionals, from startup ideation to strategic planning and legal documentation. Participants will harness ChatGPT's capabilities in crafting visions, analyzing markets, developing marketing strategies, and even drafting legal documents. The day culminates in creating a startup landing page, showcasing the practical application of ChatGPT in real-world business scenarios.

Learning Outcomes:

  • 01

    Strategic Business Ideation

    Master the use of ChatGPT in strategic business ideation and planning.

  • 02

    Legal Document Drafting

    Understand ChatGPT's potential in legal document drafting and analysis.

  • 03

    Digital Marketing & Content Creation

    Apply ChatGPT's capabilities in digital marketing, including landing page content creation.

Outline:

  • 01

    Startup Ideation

    Conceptualize, name, craft visions & missions, set objectives, and establish core values with ChatGPT's insights.

  • 02

    Strategic Plans

    From growth strategies to financial projections, use ChatGPT for comprehensive business planning.

  • 03

    Marketing Strategy & Content Creation

    Analyze audiences, gauge online reputations, and more with ChatGPT's expertise.

  • 04

    Drafting & Reviewing Legal Documents

    Collaborate with ChatGPT for drafting, reviewing, and analyzing legal documents.

  • 05

    Building a Landing Page for Your Startup

    Choose templates and use ChatGPT to update content, tailoring your landing page for your business.

Lifecycle and Fine-Tuning of LLMs

18 NOV 2023

Overview

Day 4 delves into the lifecycle and adaptations of Large Language Models (LLMs). Participants will journey from defining use cases to deploying optimized LLMs, with a focus on fine-tuning techniques, including domain-specific adaptations and LoRA adapters. The session also emphasizes the significance and application of Reinforcement Learning with Human Feedback in enhancing LLM performance.

Learning Outcomes:

  • 01

    LLMs Lifecycle Mastery

    Understand the comprehensive lifecycle of LLMs from conception to deployment.

  • 02

    Fine-Tuning Techniques

    Master techniques for fine-tuning LLMs, including domain-specific adaptations and LoRA adapters.

  • 03

    Reinforcement Learning with Human Feedback

    Grasp the principles and practical applications of RLHF in LLM development and optimization.

Outline:

  • 01

    Comprehensive Overview of LLMs Lifecycle

    Explore stages from defining the use case, tuning, refinements, evaluation, to deployment, and enhancement with external sources.

  • 02

    Fine-Tuning LLMs Models

    Adapt models to specific tasks and learn domain-specific fine-tuning.

  • 03

    Parameter Efficient Fine Tuning with LoRA Adapters

    Introduction and implementation of LoRA for efficient fine-tuning.

  • 04

    Reinforcement Learning with Human Feedback (RLHF)

    Dive deep into the principles of RLHF and its applications in LLMs.

Advanced Programming with LangChain

25 NOV 2023

Overview

Day 5 dives deep into advanced programming with LangChain. Participants will explore OpenAI's API and understand LangChain's genesis and its unique features. The day emphasizes hands-on experience, guiding attendees through creating a memory-enhanced chatbot using LangChain, ensuring a practical grasp of its capabilities and applications in real-world scenarios.

Learning Outcomes:

  • 01

    Understanding OpenAI and LangChain

    Comprehend the intricacies and capabilities of OpenAI's API and LangChain.

  • 02

    LangChain's Core Building Blocks

    Understand and apply LangChain's core building blocks in programming tasks.

  • 03

    Memory-Enhanced Chatbot Development

    Design, implement, and refine a memory-enhanced chatbot using LangChain tools.

Outline:

  • 01

    Introduction to OpenAI API

    Explore OpenAI's API, its capabilities, limitations, and real-world applications.

  • 02

    LangChain in Action

    Delve into the genesis, core features, and building blocks of LangChain.

  • 03

    Hands-on Session with LangChain

    Engage in a guided session on building a memory-enhanced chatbot using LangChain's tools, with emphasis on creation, memory enhancement, and iterative testing.

Multilingual Tokenization and Word Embeddings - Exploring Arabic and English

2 DEC 2023

Overview

Day 6 dives deep into multilingual tokenization and word embeddings, focusing on Arabic and English. Participants will explore foundational concepts, various embedding methods, and tokenization techniques. The session emphasizes the unique challenges and tailored techniques for Arabic and English, concluding with insights into multilingual models.

Learning Outcomes:

  • 01

    Core Concepts of Word Embedding and Tokenization

    Understand the core concepts of word embedding and diverse tokenization techniques.

  • 02

    Challenges and Techniques for Arabic and English

    Recognize the specific challenges and techniques for tokenization and embedding in Arabic and English.

  • 03

    Insights into Multilingual Models

    Gain insights into the capabilities and applications of multilingual models.

Outline:

  • 01

    Introduction to Word Embedding and Tokenization

    Grasp foundational concepts and their significance in NLP, delve into popular methods like Word2Vec, GloVe, and FastText, and explore the tools available for creating and managing embeddings.

  • 02

    Tokenization Techniques

    Understand rule-based, statistical, and subword tokenization, and investigate advanced methods like SentencePiece, Byte Pair Encoding, and Hugging Face Tokenizers.

  • 03

    Tokenization and Word Embedding for Arabic and English

    Address challenges specific to Arabic and English, learn tailored techniques for both languages, and explore multilingual models that cater to multiple languages simultaneously.

Transformers: The Core Technology of LLMs

9 DEC 2023

Overview

Day 7 delves into the transformative world of Transformers, the backbone of LLMs. Charting the journey from FNNs to Transformers, participants will dissect the intricate architecture, understanding self-attention, multi-head attention, and positional encoding. The day culminates in a hands-on session, where attendees build and evaluate a transformer model from scratch.

Learning Outcomes:

  • 01

    Evolution from FNNs to Transformers in NLP

    Trace the evolution from FNNs to Transformers in NLP, exploring the progress and challenges of each stage.

  • 02

    Core Components of the Transformer Architecture

    Understand the mechanisms, such as self-attention, multi-head attention, positional encoding, and the overall flow of transformers.

  • 03

    Practical Experience with Transformers

    Acquire hands-on experience by building and evaluating a transformer model from scratch.

Outline:

  • 01

    Evolution to Transformers in NLP

    Learn about the progression from Feedforward Neural Networks to Recurrent Neural Networks, the emergence of LSTM, challenges with RNN and LSTM, and the advent of Transformers.

  • 02

    Dissecting the Transformer Architecture

    Dive deep into the self-attention mechanism, multihead attention, positional encoding, and the roles of encoder/decoder blocks. Understand the transformer's holistic structure and flow, and engage in a practical session to build and evaluate a transformer.

Building a LLAMA-like LLM Model with PyTorch from Scratch

16 DEC 2023

Overview

Day 8 immerses participants in building a LLAMA-like LLM using PyTorch. Starting with a deep dive into LLAMA's architecture, attendees will set up a base model, train, and evaluate it. The day progresses to infuse LLAMA-specific elements into the model, culminating in training and comparative evaluations, offering hands-on experience in advanced model development.

Learning Outcomes:

  • 01

    Understand the LLAMA Framework

    Grasp the essence of the LLAMA framework and its distinction from traditional transformers.

  • 02

    Hands-on LLM Model Experience

    Gain practical knowledge in setting up, training, and evaluating a base LLM model.

  • 03

    LLAMA-specific LLM Implementation

    Implement and evaluate an LLAMA-specific LLM, appreciating its unique features.

Outline:

  • 01

    Steps to Build a Base Model: LLAMA Insights

    Delve into understanding the LLAMA framework, a recap of its architecture, and explore the differences and similarities between LLAMA and traditional transformer models.

  • 02

    Setting up a Base Model

    Learn the steps from repository clone, dataset download, environment setup, to configuration including transformer choice, hyperparameters, and tokenization. Delve into data preparation adjusted for LLAMA.

  • 03

    Base Model Training & Evaluation

    Grasp how to build a simple model without attention, master the training loop and monitor progress, and evaluate the model on unseen data, analyzing the results.

  • 04

    LLAMA Specifics

    Implement a Transformer Model and infuse it with LLAMA-specific building blocks.

  • 05

    Training & Evaluation

    Run the LLAMA training loop and subsequently test the model, comparing its performance with the base model.



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