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[ WebToolTip com ] Udemy - Become Generative AI Leader - Google Cloud Certification
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1 - Google Cloud Certified Generative AI Leader - Introduction
1 -Google Cloud Certified Generative AI Leader - Introduction.mp4
2 - DO NOT SKIP - Course Downloads - PDF - Google Cloud Generative AI Leader.html
10 - Exploring Google Customer Engagement Suite
1 -Step 01 - Exploring Google Customer Engagement Suite.mp4
2 -Step 02 - Google Customer Engagement Suite - Scenarios.mp4
11 - Planning Generative AI Adoption in Enterprises
1 -Step 01 - Creating Strategic Plan for Generative AI Adoption.mp4
10 -Step 10 - Secure AI - Tools and Frameworks.mp4
11 -Step 11 - Responsible AI - Build Trustworthy AI Systems.mp4
12 -Step 12 - Responsible AI - Data Challenges and Fairness.mp4
2 -Step 02 - Key Roles in a Generative AI Project.mp4
3 -Step 03 - Who Does What in Generative AI Projects.mp4
4 -Step 04 - Building a Generative AI Strategy - Hybrid Approach.mp4
5 -Step 05 - Generative AI Strategy - Hybrid Approach - Scenarios.mp4
6 -Step 06 - Using Generative AI - Augmentation vs Automation.mp4
7 -Step 07 - Keeping Humans at the Forefront of Gen AI.mp4
8 -Step 08 - Why Secure AI at Every Stage.mp4
9 -Step 09 - Secure AI – Match the Action to the Stage.mp4
12 - Google Cloud Certified Generative AI Leader - Get Ready
1 -Google Cloud Certified Generative AI Leader - Get Ready.mp4
2 -Google Cloud Certified Generative AI Leader - My Recommendations.mp4
13 - Google Cloud Certified Generative AI Leader - Congratulations
1 -Google Cloud Certified Generative AI Leader - Congratulations.mp4
14 - Appendix - Creating Google Cloud Account
1 -Step 01 - Creating GCP - Google Cloud Platform - Account.mp4
2 - Introduction to Artificial Intelligence and Machine Learning
1 -Step 01 - What is Artificial Intelligence.mp4
10 -Step 10 - Understanding Reinforcement Learning.mp4
11 -Step 11 - Comparing Supervised, Unsupervised and Reinforcement Learning.mp4
12 -Step 12 - The AI Turmoil - My View Point.mp4
2 -Step 02 - Lets Play with Gemini.mp4
3 -Step 03 - Machine Learning Learns From Examples.mp4
4 -Step 04 - Exploring Machine Learning Features and Labels.mp4
5 -Step 05 - Exploring Steps in Machine Learning Lifecycle.mp4
6 -Step 06 - Identify the Stage in ML Lifecycle - Scenarios.mp4
7 -Step 07 - Exploring Structured and Unstructured Data.mp4
8 -Step 08 - Understanding Labeled and Unlabeled Data.mp4
9 -Step 09 - Exploring Supervised and Unsupervised Learning.mp4
3 - Introduction to Generative AI
1 -Step 01 - Generative AI Generates New Content.mp4
2 -Step 02 - Generative AI uses Foundation Models.mp4
3 -Step 03 - Understanding Large Language Models.mp4
4 -Step 04 - Understanding Diffusion Models.mp4
5 -Step 05 - Introduction to Foundation Models - Scenarios.mp4
4 - Generative AI Foundation Models in Google Cloud
1 -Step 01 - Introduction to Foundation Model - Gemini.mp4
10 -Step 10 - Reducing Hallucinations and Improving Accuracy.mp4
2 -Step 02 - Introduction to Foundation Model - Imagen.mp4
3 -Step 03 - Introduction to Foundation Model - Chirp.mp4
4 -Step 04 - Introduction to Foundation Model - Veo.mp4
5 -Step 05 - Getting Started with Google AI Studio.mp4
6 -Step 06 - Playing with Foundation Models - Google AI Studio.mp4
7 -Step 07 - Introduction to Foundation Model - Gemma.mp4
8 -Step 08 - Exploring Foundation Model Limitations.mp4
9 -Step 09 - Exploring Foundation Model Limitations - Scenarios.mp4
5 - Writing Great Generative AI Prompts
1 -Step 01 - Prompting - Your Key to Great Gen AI Results.mp4
2 -Step 02 - ZERO SHOT vs ONE SHOT vs FEW SHOT Prompting.mp4
3 -Step 03 - Exploring Role Prompting.mp4
4 -Step 04 - What is Prompt Chaining.mp4
5 -Step 05 - Exploring Chain of Thought Prompting.mp4
6 -Step 06 - What is ReAct Prompting.mp4
7 -Step 07 - Prompting Techniques - A few scenarios.mp4
8 -Step 08 - Experiment with Model Parameters.mp4
9 -Step 09 - Experiment with Model Parameters - Scenarios.mp4
6 - Advanced Features of Gemini Model
1 -Step 01 - Gemini Nano - AI on the Edge.mp4
2 -Step 02 - Gemini Integrations - Google Cloud, Google Workspace and more.mp4
3 -Step 03 - Gemini - Advantages of Large Context Window.mp4
4 -Step 04 - Introduction to Gemini Safety Settings.mp4
5 -Step 05 - Build custom experts with Gemini Gems.mp4
6 -Step 06 - Playing with Gemini Gems.mp4
7 - Getting Started with NotebookLM
1 -Step 01 - What is Grounding and RAG.mp4
2 -Step 02 - What Is NotebookLM.mp4
3 -Step 03 - Playing with NotebookLM.mp4
4 -Step 04 - What Is NotebookLM - Scenarios.mp4
8 - Machine Learning and Generative AI in Google Cloud
1 -Step 01 - Exploring AI at Google.mp4
10 -Step 10 - Playing with Vertex AI – Vertex AI Studio.mp4
11 -Step 11 - Google AI Studio vs Vertex AI Studio.mp4
2 -Step 02 - Getting Started with Google Cloud.mp4
3 -Step 03 - Why Google Cloud.mp4
4 -Step 04 - Why Google Cloud - Scenarios.mp4
5 -Step 05 - ML in Google Cloud - Traditional Landscape.mp4
6 -Step 06 - ML in Google Cloud – After Generative AI.mp4
7 -Step 07 - ML in Google Cloud – Scenarios.mp4
8 -Step 08 - Exploring Vertex AI - Google Cloud AI Platform.mp4
9 -Step 09 - Playing with Vertex AI – Build Your Models From Zero.mp4
9 - Introduction to AI Agents
1 -Step 01 - What are AI Agents.mp4
2 -Step 02 - Exploring Agent Types.mp4
3 -Step 03 - Model vs Agent vs Application.mp4
4 -Step 04 - How Do AI Agents Work.mp4
5 -Step 05 - Building Agents in Google Cloud.mp4
6 -Step 06 - Introduction to Agentspace.mp4
7 -Step 07 - Introduction to Vertex AI Search.mp4
8 -Step 08 - Understanding the Layers of Generative AI.mp4
Bonus Resources.txt
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