Exploring Gen AI Applications in Daily Work and Beyond
Note: This outline will be customized for the target industry the audience is working in. In the event that it is delivered to a cross industry group, content will be adjusted accordingly. Topics can be adjusted as needed.
Duration: 4 hours
Module 1: Introduction to Generative AI and Its Applications
Overview of Generative AI
Applications for Software Developers, Business Analysts, and Managers
Examples of Generative AI in Daily Work
Q&A
Module 2: AI Tools for Coding and Language Conversion
AI-based Code Autocompletion
Code Review Assistance
Natural Language Understanding for Requirements Analysis
Q&A
Module 3: Data Security Techniques Before AI Processing
Overview of Data Security Concerns in AI
Privacy-Preserving Techniques
Secure Data Handling Practices
Q&A
Module 4: AI in Communication and Document Preparation
AI Email Writing Assistants
AI Document Summarization and Generation
Use Cases in Business Communication
Q&A
Module 5: Overview of AI Tools in the Market for Software Teams
Popular AI Tools for Software Development
Choosing the Right Tools for Your Team
Case Studies of Successful Implementations
Q&A
Module 6: AI Automation Applications
Process Automation with AI
Robotic Process Automation (RPA)
Workflow Optimization Techniques
Q&A
Module 7: Personal Time-Saving AI Tools for Software Engineers
Time Management and Productivity Tools
Personalized Learning Platforms
AI-Powered Task Automation
Q&A
Module 8: AI's Role in <Target Industry>
Overview of AI Applications in <Target Industry>
Use Cases in <Target Industry>
Ethical Considerations and Challenges
Q&A
Module 9: AI Use Cases in <Target Industry>
Predictive Analytics in<Target Industry>
Personalized <Target Industry> and Risk Assessment
AI-driven Customer Support Solutions
Q&A
Module 10: Wrap-up and Closing Remarks
Recap of Key Learnings
Resources for Further Exploration
Feedback and Suggestions
Closing Remarks