What you'll learn
- Harnessing the power of generative AI for diverse applications on Google Cloud Platform.
- Implementing advanced machine learning techniques for creative content generation.
- Developing scalable and efficient generative models using Google Cloud's infrastructure.
- Integrating generative AI solutions seamlessly into existing workflows and projects on Google Cloud.
This course details
- Skill Level : Advance Course
- Study Lecture : 9 Lectures
- Time Duration : 1 Day
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
Course Content
Registration and Welcome Breakfast
Introduction to General AI (GenAI)
– What is GenAI?
– Differences between Narrow AI and General AI.
– The evolution and significance of GenAI.
Overview of Google Cloud’s AI Services
– Introduction to Google Cloud Platform (GCP).
– Brief on Vertex AI and Generative AI Studio.
Hands-on Lab 1: Setting up GCP for GenAI Workloads
– Initiating a GCP account & project.
– Configuring IAM & permissions.
– Introduction to Vertex AI workspace.
Morning Break
Dive into Vertex AI
– What is Vertex AI?
– Components: Vertex Pipelines, Vertex Prediction, etc.
– Use cases and applications.
Hands-on Lab 2: Building an End-to-End ML Workflow with Vertex AI
– Data preparation and preprocessing.
– Model training and deployment.
– Predictions with the trained model.
Lunch Break
Introduction to Generative AI Studio
– What is Generative AI Studio?
– Overview of generative models and their applications.
– Link between Generative AI and GenAI concepts.
Hands-on Lab 3: Experiencing Generative AI Studio
– Setting up Generative AI Studio.
– Experimenting with pre-trained generative models.
– Fine-tuning and deploying generative models.
Afternoon Break
Advanced Features & Integrations
– Integrating Vertex AI and Generative AI Studio.
– Best practices for creating, training, and deploying models.
– Exploring APIs and SDKs related to these platforms.
Q&A, Feedback, and Closing Remarks
Course Summary
“GenAI on Google Cloud with Vertex AI and Generative AI Studio” offers an immersive exploration into the realm of GenAI on Google Cloud. The course marries theoretical knowledge with practical application, ensuring that participants not only understand the concepts but also know how to leverage them in real-world scenarios. Through lectures, discussions, and hands-on labs, attendees will walk away with a robust understanding of Google Cloud’s AI solutions and how to harness them for GenAI projects.
Course Description
This one-day training course dives deep into General AI (GenAI) on Google Cloud, focusing on the potent capabilities of Vertex AI and Generative AI Studio. Participants will explore the conceptual underpinnings of GenAI, its differentiation from Narrow AI, and experience hands-on labs that highlight Google Cloud’s state-of-the-art AI tools.
Who this course is for :
- Data scientists and AI engineers looking to master generative AI techniques on Google Cloud.
- Developers aiming to leverage Google Cloud's resources for advanced generative model training.
- Tech enthusiasts eager to explore the cutting-edge capabilities of generative AI within Google Cloud infrastructure.
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Instructor
- 4.5 Instructor Rating
- 1,654 Reviews
- 15 Years of Experience
- 9 Courses
Anil Bidari is a versatile trainer and consultant specializing in GitLab, AWS, Azure, Google, DevOps, Jenkins, Kubernetes, Ansible, Docker, Agile, and Machine Learning. His expertise drives successful technology adoption and implementation, benefiting organizations and individuals alike.
Deepika Sharma
Developer