Day 1: Foundations of the Modern AI Enterprise
Morning Session (4 hours): The GPT-5 Paradigm Shift
- Module 1: Introduction to GPT-5 & the Unified Architecture (2 hours)
- Beyond the Hype: What Makes GPT-5 an Enterprise-Ready Platform
- The Adaptive Router: How GPT-5 Intelligently Switches Between Reasoning and Speed
- From Models to Agents: Understanding the Shift to Autonomous Workflows
- Lab: Your First Interaction with the GPT-5 API - A Comparative Analysis
- Module 2: Strategic Business Implications of GPT-5 (2 hours)
- Identifying High-Value Use Cases for Automation and Augmentation
- Rethinking Business Processes with Agentic AI
- Building a Business Case for Enterprise AI Adoption
- Workshop: Mapping GPT-5 Capabilities to Your Business Challenges
Afternoon Session (4 hours): Mastering the GPT-5 API
- Module 3: Advanced API Techniques (2 hours)
- Leveraging the 400K Context Window: Strategies for Coherence and Consistency
- Controlling the
Output: Advanced Prompt Engineering for Complex Reasoning
* Cost Management: Choosing the Right Model (gpt-5, mini, nano) for the Job
* Lab: Optimizing API Calls for Cost and Performance
- Module 4: Introduction to Multimodal Capabilities (2 hours)
- Beyond Text: Working with Images, Charts, and Data Visualizations
- Introduction to GPT-5's Native Speech and Vision Capabilities
- The Future of Human-Computer Interaction
- Lab: A Multimodal Q&A System with GPT-5
Day 2: Building Intelligent, Multimodal Applications
Morning Session (4 hours): Your 4-Hour Deep Dive into Advanced Speech & Voice
- Module 5: Advanced Speech-to-Text & Voice Integration (4 hours)
- Lesson 1: Basics of OpenAI Speech to Text with GPT-5 (1 hour)
- Understanding GPT-5's unified approach to speech recognition
- Comparing legacy Whisper vs. GPT-5's integrated speech capabilities
- Start coding with Python to use GPT-5's speech-to-text features
- Hands-on: Building a simple transcription script with GPT-5
- Lesson 2: Building a Podcast Transcription App (1 hour)
- Create an app that can transcribe podcasts using GPT-5
- Learn to integrate GPT-5's transcription capabilities with other business apps
- Leveraging ChatGPT Connectors for seamless workflow integration
- See how GPT-5's reasoning can enhance transcription with context and summarization
- Lesson 3: Making a Subtitle Generator (1 hour)
- Learn to make subtitles for videos using GPT-5's multimodal capabilities
- Build a tool that creates and adds subtitles automatically
- Discover how to make videos more accessible with AI-powered captioning
- Integration with video platforms and content management systems
• Lesson 4: Making Transcription Work Faster and More Accurately (1 hour)
- Find out how to optimize GPT-5's transcription performance
- Learn when to use gpt-5-nano for speed vs. gpt-5 for accuracy
- Balance between quick results and accurate transcriptions
- Cost optimization strategies for large-scale transcription projects
Afternoon Session (4 hours): Knowledge Retrieval and Semantic Search
- Module 6: The OpenAI Embedding API in Depth (4 hours)
- The Theory Behind Vector Embeddings and Semantic Search
- Advanced Strategies for Chunking and Indexing Large Document Sets
- Building a Production-Ready Knowledge Retrieval System
- Lab: Creating a Semantic Search Engine for Your Company's Documentation
Day 3: Creating and Deploying AI-Powered Solutions
Morning Session (4 hours): Designing and Building User-Centric AI
- Module 7: Prototyping with ChatGPT Canvas (2 hours)
- From Idea to Interactive Prototype without Code
- Collaborative Design for AI-Powered Applications
- Workshop: Designing a User-Friendly Interface for an AI Agent
- Module 8: Integrating AI with Business Applications (2 hours)
- A Deep Dive into ChatGPT Connectors (Google Drive, SharePoint, GitHub, etc.)
- Building Custom Connectors for Your Proprietary Systems
- Lab: Creating a Workflow that Connects GPT-5 to Your Business Data
Afternoon Session (4 hours): Building Industry-Specific Solutions
- Module 9: Developing an AI-Powered Advisor (4 hours)
- Combining Embeddings, Connectors, and Reasoning for Deep Expertise
- Strategies for Customization, Fine-Tuning, and Continuous Learning
- Ethical Considerations and Guardrails for Autonomous Agents
- Project: Build a Customized Advisor for a Specific Industry (e.g., Finance, Healthcare, Legal)
Day 4: Advanced Deployment and the Future of Enterprise AI
Morning Session (4 hours): Enterprise-Grade Deployment
- Module 10: Training and Fine-Tuning with Private Data (2 hours)
- Best Practices for Data Preparation and Annotation
- Ensuring Data Privacy, Security, and Regulatory Compliance (GDPR, HIPAA, etc.)
- Lab: Fine-Tuning a GPT-5 Model on a Custom Dataset
- Module 11: Building and Deploying an End-to-End GPT Application (2 hours)
- Architectural Patterns for Scalable and Resilient AI Systems
- CI/CD for AI: Automating the Deployment and Maintenance of Your Models
- Monitoring, Logging, and Alerting for AI Applications
Afternoon Session (4 hours): The Future of Work and Q&A
- Module 12: The Future of Enterprise AI (2 hours)
- Emerging Trends: Autonomous Agents, AI-Powered Robotics, and More
- The Role of AI in the Future of Your Industry
- Preparing Your Organization for the Next Wave of AI Innovation
- Module 13: Open Forum and Final Project Showcase (2 hours)
- An open session for discussing advanced topics and challenges
- Participants showcase their final projects and receive feedback
- Course wrap-up and next steps for your AI journey
