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- India, Singapore
Master Google AI with Cloud Enabled
4.2
4.2/5
Price :
-
Category :
Management
Anil Bidari
Chief Consultant
At Cloud Enabled, our Google AI Course provides hands-on training in AI development, machine learning, and cloud-based AI solutions using Google Cloud AI, TensorFlow, and Vertex AI, helping professionals build 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 Google AI Course?
What You Will Learn in Google AI Training
Who Should Enroll in the Google AI Course?
Why Choose Our Google AI Course?
✅ Comprehensive Curriculum – Covers Google AI services, ML models, and AI-powered applications.
✅ Hands-On Labs & Projects – Gain real-world AI experience with practical exercises.
✅ Expert Trainers – Learn from certified Google AI professionals.
✅ Flexible Learning Options – Online, classroom, and corporate training available.
✅ Certification & Career Support – Get certified and accelerate your AI career.
What You Will Learn in Google AI Training
Our Google AI Course covers key AI and ML concepts, including:
- Introduction to Google AI & Machine Learning – Fundamentals of AI in Google’s ecosystem.
- Google Cloud AI Services – Implement NLP, computer vision, and speech recognition.
- TensorFlow & Deep Learning – Train and deploy ML models using TensorFlow.
- AutoML & Vertex AI – Automate ML workflows with Google’s AI tools.
- Big Data & AI Integration – Process and analyze large datasets with AI-powered tools.
- AI Model Deployment on Google Cloud – Learn how to deploy AI applications efficiently.
Who Should Enroll in the Google AI Course?
Our Google AI Training is ideal 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 your learning journey today.
Google AI Course – Training Modes
🎓 Instructor-Led Online Training – Interactive live sessions with expert trainers.
🏢 Corporate AI Training – Customized training for teams and enterprises.
Why Cloud Enabled for Google AI Training?
- Top AI & Cloud Training Institute in Singapore.
- Certified Google AI Experts as Trainers.
- Hands-On AI Applications & Real-World Case Studies.
- Industry-Recognized Certification.
- Stay Ahead with the Latest Google 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 !!
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