Build with AI Event master deck final final
- 1. Gen AI Cloud StudyJam Workshop “Build with AI”
- 2. Gen AI Study Jam Resume from 2nd November
- 3. Introduction of New Syllabus of Gen AI
- 4. Syllabus of Gen AI • Get started with Pub/sub • Cloud Functions: 3 Ways • Cloud Speech API: 3 Ways • Get Started with Cloud Storage • Get Started with Looker • Get Started with Dataplex • Get Started with API Gateway • Monitoring in Google Cloud
- 5. Syllabus of Gen AI • The Basics of Google Cloud Compute • Get Started with Google Workspace Tools • Prompt Design in Vertex AI • Develop GenAI Apps with Gemini and Streamlit • Analyze images with the Cloud vision API • Networking Fundamentals on Google Cloud • App Engine: 3 Ways
- 6. Introducing the 15 days 15 skill badges scheme
- 7. Arcade game will be accounced soon…
- 8. What is Vertex AI ? A unified machine learning platform designed to simplify the process of building and deploying AI models. Used by Data scientists and developers for building custom models AI Agent: It utilizes artificial intelligence techniques to perform tasks autonomously or semi-autonomously.
- 9. Components of Vertex AI • Pipelines • Workbench • Training • Auto ML • Model Registry
- 10. Open Source Models Publicly available for use and modification, fostering collaboration and innovation.TensorFlow and PyTorch have large communities and extensive documentation.
- 11. Pretrained Models Models that have been previously trained on large datasets and can be fine-tuned for specific tasks. They significantly reduce the time and resources needed for model training. Eg: Vision AI, Natural Language Processing models for text analysis.
- 12. Large Language Models(LLMs) LLMs are advanced AI models capable of understanding and generating human-like text. They have numerous applications, including chatbots, content generation, translation services, and summarization tools. Eg: BERT (Bidirectional Encoder Representations from Transformers) and T5 (Text-to-Text Transfer Transformer).
- 13. Introduction to “Build with AI”
- 14. Sundar Pichai on AI- Generated Code at Google FirstName LastName Title, Company
- 15. Building AI-Powered Assistants with Gamma Model- Similar to GitHub’s Copilot for VS Code. .
- 16. Sundar Pichai on AI- Generated Code at Google Editable Location FirstName LastName Title, Company
- 17. AI Content Search (RAG) With Docs Agent - User Question - AI Conversion - Data Retrieval - User-Friendly Response
- 18. Building AI-Powered Assistants with Gamma Model- Similar to GitHub’s Copilot for VS Code. .
- 19. Building AI-Powered Assistants with Gamma Model- Similar to GitHub’s Copilot for VS Code. .
- 20. Introduction to AI Data Agent and Function-Calling Feature “Talk to SQL” system.
- 22. Practical Applications of AI-Powered SQL Querying AI agent 1. User Question 2. AI Conversion 3. Data Retrieval 4. User-Friendly Response
- 23. Google AI Studio
- 24. Slide Formats
- 25. Thank you .