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- India, Singapore
AI Training Courses & AI Certification Course in Singapore
4.2
4.2/5
Price :
-
Category :
Management
Anil Bidari
Chief Consultant
Anil Bidari is a versatile trainer . we offer industry-leading AI Training Courses and AI Certification Courses in Singapore, designed to help professionals and businesses master AI technologies.
- Time Duration : 1 Day
- Study Lecture : 9 Lectures
- Skill Level : Advance Course
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
OVERVIEW :
Why Choose Cloud Enabled for AI Training
Who Should Take This AI Certification Course?
Key Benefits of AI Certification
Why Choose Cloud Enabled for AI Training
- Industry-Recognized Certification – Enhance your career with globally recognized AI credentials.
- Expert Trainers – Learn from AI professionals with real-world experience.
- Hands-On Training – Gain practical experience with AI tools & frameworks.
- Flexible Learning Options – Choose from online, in-person, and self-paced learning.
- Job-Oriented Curriculum – Designed to help you apply AI in real-world scenarios.
Who Should Take This AI Certification Course?
- AI & Machine Learning Engineers
- Data Scientists & Analysts
- Software Developers & IT Professionals
- Business Leaders & Decision Makers
- Students & Fresh Graduates Interested in AI
Key Benefits of AI Certification
✅ Gain industry-recognized AI credentials
✅ Increase job opportunities & salary potential
✅ Develop hands-on expertise with AI tools
✅ Learn from top AI professionals
AI Training Courses in Singapore
What You Will Learn in Our AI Training Courses?
Our comprehensive AI training covers everything from fundamental concepts to advanced applications, including:
- Machine Learning & Deep Learning – Understand AI models and algorithms.
- Natural Language Processing (NLP) – Build AI-powered chatbots & voice assistants.
- Computer Vision & Image Processing – Learn about AI-powered image recognition.
- Big Data & AI Integration – Work with large datasets for AI-driven insights.
- AI Ethics & Responsible AI – Implement AI solutions responsibly.
Why Cloud Enabled is the Best Choice for AI Training in Singapore
- Top-Rated AI Training Institute in Singapore
- Real-World AI Projects for practical learning
- Industry-Recognized Certification to boost your career
- Updated Curriculum aligned with industry trends
Modes of Learning – Complete Curriculum
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.
- Interactive instructor-led sessions
- Hands-on learning experience
FAQs on AI Training Courses & Certification
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.
AI Training provides hands-on learning, while AI Certification validates your AI expertise through an official exam.
Q2: How long does AI Training take?
Our training courses range from 1 Day) to 2 weeks (comprehensive program).
Yes, but training significantly increases your chances of passing.
Yes! We offer custom AI training programs for corporate teams.
Contact us for pricing and promotional offers!
Let's Enroll Our Course !!
Join the Best AI Training & Certification Course in Singapore. Whether you’re looking to upskill or start a new career in AI, Cloud Enabled has the right program for you.
