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- India, Singapore
Chief Consultant
At Cloud Enabled, our AI Finance Courses are designed to help finance professionals, data analysts, and business leaders harness AI-driven insights, automation, and decision-making strategies to stay ahead in the digital finance revolution.
✅ Industry-Focused Curriculum – Learn AI applications in banking, investments, risk management & more.
✅ Hands-On Learning – Work on real-world financial AI projects.
✅ Expert-Led Training – Learn from experienced AI and finance professionals.
✅ Flexible Learning Modes – Online & classroom
✅ Certification & Career Support – Boost your finance career with AI expertise.
Our AI Finance Courses cover practical AI applications in finance, including:
Our AI Finance Training is ideal for:
Live Instructor-Led Training – Interactive online or in-person sessions.
🏢 Corporate AI Finance Training – Custom training for finance teams.
🚀 Flexible learning options for professionals & businesses!
Why Cloud Enabled for AI Finance 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.
Join the Best AI Finance Courses Whether you’re looking to upskill or start a new career in AI, Cloud Enabled has the right program for you. View More : ChatGPT for Banking