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Chief Consultant
Generative AI is transforming industries worldwide, and Cloud Enabled is here to help you master the latest Generative AI Skills with our expert-led Generative AI Training and Generative AI Courses in Singapore.
✅ Industry-Leading AI Training – Stay ahead with expert-designed courses.
✅ Practical Hands-On Learning – Work on real-world AI projects.
✅ Flexible Learning Options – Online, in-person, and self-paced courses.
✅ Certification & Career Support – Boost your resume with industry-recognized AI credentials.
✅ AI Tools & Frameworks – Master Python, TensorFlow, OpenAI, and more.
🚀 Start your AI journey today! Enroll Now!
Our training covers everything you need to build expertise in Generative AI, including:
🚀 Develop job-ready Generative AI skills! Join Now!
What is Generative AI Training?
Our Generative AI Training program is designed to provide hands-on experience in AI development. Through live projects, expert mentorship, and real-world case studies, you’ll gain the practical skills needed to implement AI solutions efficiently.
Why Choose Cloud Enabled for Generative AI Training & Courses?
Who Should Join This Training?
Registration and Welcome Breakfast
Introduction to Generative AI
- Definition and significance of Generative AI.
- Overview of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other generative models.
- Applications and potential of Generative AI.
Introduction to AWS Cloud
- Overview of Amazon Web Services (AWS).
- Highlight of AWS's AI & Machine Learning services.
Hands-on Lab 1: Setting up AWS for Generative AI Workloads
- Creating an AWS account and setting up IAM roles.
- Introduction to Amazon SageMaker and its relevance to AI/ML.
- Initial configuration for generative AI workloads.
Morning Break
Dive into AWS Generative AI Tools
- DeepComposer: Generative AI for music.
- DeepRacer: Reinforcement learning models.
- Overview of SageMaker's capabilities for custom generative models.
Hands-on Lab 2: Exploring Deep Composer
- Setting up DeepComposer.
- Training a generative model for music generation.
- Evaluating and fine-tuning the model's outputs.
Lunch Break
Advanced Generative AI with SageMaker
- Benefits of using SageMaker for generative AI tasks.
- Integrating other AWS services (like S3) with SageMaker for data management.
- Custom generative model training and deployment.
Hands-on Lab 3: Training a GAN with SageMaker
- Setting up the SageMaker environment.
- Preparing datasets and training a GAN model.
- Visualizing and interpreting generated samples.
Afternoon Break
Challenges and Solutions in Generative AI on AWS
- Addressing common issues: mode collapse, training instability, etc.
- AWS tools and resources for troubleshooting.
- Best practices for model optimization and performance.
Hands-on Lab 4: Fine-tuning and Deployment
- Advanced techniques for improving generative model outputs.
- Deploying the trained model for real-time generation tasks.
- Scaling and managing generative AI solutions on AWS.
Q&A, Feedback, and Closing Remarks
End of Training
This course aims to provide a comprehensive insight into Generative AI on AWS. Ensure to adjust pacing based on the participants' prior knowledge and always incorporate feedback after each hands-on lab to gauge understanding and make necessary adjustments.
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