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Master Azure AI with Cloud Enabled
4.2
4.2/5
Price :
-
Category :
Management
Anil Bidari
Chief Consultant
At Cloud Enabled, our Azure AI Courses provide hands-on training in AI development, machine learning, and cloud-based AI solutions using Microsoft Azure, empowering professionals to build and deploy intelligent applications efficiently.
- 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 Our Azure AI Courses?
What You Will Learn in Azure AI Training
Who Should Enroll in Azure AI Training?
Why Choose Our Azure AI Courses?
Why Choose Our Azure AI Courses?
✅ Comprehensive Curriculum – Covers Azure AI services, ML models & cognitive services.
✅ Hands-On Labs & Projects – Practical experience in real-world AI applications.
✅ Industry Experts as Trainers – Learn from certified Azure AI professionals.
✅ Flexible Learning Options – Online, classroom, and corporate training available.
✅ Certification & Career Support – Get Azure AI certified and boost your job prospects.
🚀 Take your AI skills to the next level! Enroll Now!
What You Will Learn in Azure AI Training
Our Azure AI Courses cover key AI and ML concepts, including:
- Introduction to Azure AI & Machine Learning – Fundamentals of AI in the Microsoft ecosystem.
- Azure Cognitive Services – Implement NLP, speech recognition & computer vision.
- Azure Machine Learning (Azure ML) – Train & deploy ML models in Azure.
- AI-Powered Chatbots & Virtual Assistants – Build AI-driven customer support solutions.
- Big Data & AI Integration with Azure – Process & analyze large datasets with AI tools.
- Deep Learning & Neural Networks – Implement deep learning models in Azure.
📊 Master AI with Microsoft Azure – Sign Up Today!
Who Should Enroll in Azure AI Training?
Our Azure AI Training is perfect for:
- IT Professionals & Developers
- Data Scientists & AI Engineers
- Cloud Engineers & Solution Architects
- Business Analysts & AI Enthusiasts
- Students & Graduates in AI & Cloud Computing
📌 No prior AI experience required! Start learning today.
Azure AI Courses – Training Modes
🎓 Instructor-Led Online Training – Interactive live sessions with real-time Q&A.
🏢 Corporate Azure AI Training – Customized training for teams & enterprises.
🚀 Choose the best learning mode for you! Enroll Now!
Why Cloud Enabled for Azure AI Training?
- Top AI & Cloud Training Institute in Singapore.
- Microsoft Azure AI-Certified Trainers.
- Practical AI Applications with Hands-On Labs.
- Industry-Recognized Certification.
- Stay Ahead with the Latest Azure AI Technologies.
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
Let's Enroll Our Course !!
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 : Generative AI on Microsoft Azure
