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