Master AI services across the three major cloud providers — Azure OpenAI, AWS Bedrock, and Google Vertex AI. Learn to build, train, deploy, and scale AI solutions in the cloud.
Comprehensive training across all three major cloud AI ecosystems
Best for: Microsoft ecosystem users, enterprise
Deploy GPT-4, DALL-E, Whisper, and other OpenAI models on Azure with enterprise security and compliance.
Best for: AWS users, startups, scale-up teams
Access foundation models from Anthropic, Meta, Amazon, and others via Bedrock — and build production ML with SageMaker.
Best for: Data teams, analytics, Gemini integration
Build and deploy ML models with Google's unified AI platform — including Gemini, AutoML, and Vertex Pipelines.
Extend your cloud skills into AI — deploy and manage production AI services on your preferred platform.
Build CI/CD pipelines for ML models, manage deployments, and monitor model performance at scale.
Integrate cloud AI APIs into your applications — from text generation to vision and speech recognition.
Understand cloud AI governance, data residency, compliance, and access control in enterprise environments.
12-module program covering all three cloud AI ecosystems end-to-end
This program prepares you for major cloud AI certifications
Hands-on labs on real cloud environments — not simulations
Hands-on exercises in real Azure, AWS, and GCP environments
Instructor-led virtual sessions with screen sharing and Q&A
All sessions recorded for review and revision at your own pace
Certification exam prep with practice tests and guidance