ChatGPT Advanced: Mastering Automation and Workflow Optimization

Course Info

Length: 1 Week

Type: Online

Available Dates

Fees

  • Dec-30-2024

    1,800

  • Jan-27-2025

    1,800

  • Feb-24-2025

    1,800

  • Mar-24-2025

    1,800

  • Apr-28-2025

    1,800

  • May-26-2025

    1,800

  • June-30-2025

    1,800

  • July-28-2025

    1,800

  • Aug-25-2025

    1,800

  • Sep-29-2025

    1,800

  • Oct-27-2025

    1,800

  • Nov-24-2025

    1,800

  • Dec-22-2025

    1,800

Course Details

Course Outline

5 days course

Introduction to Advanced Applications and Techniques    


·    Recognizing the role of advanced AI techniques in transforming industries

·    Understanding natural language processing (NLP) and transformer models

·    Real-world examples of ChatGPT’s application in various sectors

·    Introduction to multimodel functions and applications

·    Understanding large language models (LLMs) like ChatGPT, Google Gemini, and others.

Advanced Prompt Engineering and Workflow Automation 


  • Reviewing the principles and functions of prompt engineering
  • Techniques for crafting prompts that handle complex business scenarios
  • Utilizing ChatGPT’s custom function calls to automate and streamline business processes
  • Detailed case studies showcasing automation in different industries
  • Activity: Designing and implementing automated workflows using advanced prompt engineering and custom function calls

Fine-Tuning and Optimizing LLMs for Business Needs


  • Understanding fine-tuning, its significance, and techniques
  • Techniques to customize LLM models for specific tasks 
  • Analyzing the performance of different MML models
  • Methods for optimizing models to meet specific business objectives
  • Experimenting with vision models for image and video analysis

Workflow Automation with LangChain and AI Agents


  • Introduction to LangChain and its role in supporting complex AI applications
  • Ways of implementing LangChain agents for real-time task automation and management
  • Discussing how to leverage LangChain line graphs to visualize and manage intricate workflows
  • Activity: Building and deploying an AI-driven workflow automation system using LangChain and custom function calls
  • Discussion: Best practices for deploying and managing AI-driven automation in a business context

Integrating AI into Business Operations and Hands-On Exercises


  • Methods and best practices for integrating AI-driven automation into existing business systems and workflows
  • Strategies for monitoring, managing and improving AI flows
  • Exercises for applying advanced concepts learned throughout the courses
  • Final project and feedback
  • Recap of key concepts and takeaways