What You Need to Know Before
You Start
Starts 2 July 2025 12:16
Ends 2 July 2025
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Days
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Hours
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Minutes
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Seconds
4 hours 3 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Paid Course
Optional upgrade avallable
Overview
Embark on a transformative learning journey with the "Amazon Bedrock Masterclass:
A Guide to Generative AI on AWS." This comprehensive course is meticulously designed to equip you with the knowledge, skills, and practical expertise necessary to excel in the rapidly evolving domain of Generative Artificial Intelligence (AI) using Amazon's robust Bedrock platform.
Syllabus
- Introduction to Amazon Bedrock and Generative AI
- Fundamentals of Generative AI
- Setting Up Amazon Bedrock
- Core Services and Tools of Amazon Bedrock
- Building Generative Models with Amazon Bedrock
- Deploying and Scaling Generative AI Solutions
- Advanced Topics in Generative AI
- Security and Compliance in AI on AWS
- Hands-On Labs and Projects
- Future Trends and Innovations in Generative AI
- Conclusion and Certification
Overview of Generative AI and its applications
Introduction to Amazon Bedrock platform
Importance and potential impact of AI on various industries
Key concepts in Generative AI
Machine learning strategies for generative models
Overview of popular generative models (e.g., GANs, VAEs)
Creating and configuring an AWS account
Navigating the Amazon Bedrock interface
Resource management and cost optimization
Overview of core services (e.g., model training, data processing)
Tools for deploying and maintaining AI models
Integration with other AWS services for enhanced functionality
Data preparation and preprocessing techniques
Training models using Amazon Bedrock
Best practices for tuning and optimizing model performance
Strategies for deploying models in production
Scaling solutions with AWS's infrastructure
Monitoring and managing AI model lifecycle
Fine-tuning pre-trained models
Exploring cutting-edge generative techniques
Case studies and real-world applications
Ensuring data privacy and compliance
Security best practices
Ethical considerations in deploying generative AI
Practical exercises to reinforce learning
Full project from data processing to model deployment
Feedback and iterative improvement techniques
Emerging trends and technologies in AI
Roadmap for future learning and professional development
Summary of key learnings
Pathways to certification
Career opportunities in Generative AI with Amazon Bedrock
Taught by
Renaldi Gondosubroto
Subjects
Programming