Join Coding Hubs School of AI. Train on AWS SageMaker, Azure ML Studio, GCP Vertex AI & MLOps pipelines. The most comprehensive Cloud AI program in North Delhi. Batch July 2026.
Build, train, and deploy AI models at scale on the world's leading cloud platforms — with real AWS, Azure, and GCP accounts from Day 1.
Train ML models on SageMaker, deploy endpoints, use Amazon Bedrock for LLM API access, and automate with Step Functions.
Azure ML Studio, AutoML, MLflow on Azure, Azure OpenAI Service, and Responsible AI dashboards.
Vertex AI Model Garden, AutoML, Gemini API, BigQuery ML, and Google's AI infrastructure.
CI/CD for ML models — GitHub Actions, MLflow, DVC, Weights & Biases, automated retraining triggers.
Containerize ML models, deploy on Kubernetes, manage GPU workloads, and use Helm charts for ML deployments.
Monitor model performance in production, detect data/concept drift, set up automated retraining pipelines.
5-month program at Coding Hubs School of AI Pitampura. Live cloud accounts on AWS, Azure & GCP provided for all students.
| Module | Topics Covered | Duration |
|---|---|---|
| Module 1 Cloud & AI Foundations | Cloud services overview, ML workflow, Python for ML, Pandas, Scikit-learn recap | 1 Week |
| Module 2 AWS SageMaker | SageMaker Studio, built-in algorithms, custom training jobs, model hosting, batch transform | 3 Weeks |
| Module 3 AWS Bedrock & GenAI | Amazon Bedrock, Claude/Llama on AWS, Knowledge Bases (RAG), Agents for Bedrock | 2 Weeks |
| Module 4 Azure ML Studio | Azure ML workspace, AutoML, Designer, MLflow on Azure, model registry, deployment | 2 Weeks |
| Module 5 Azure OpenAI & Cognitive | Azure OpenAI Service, GPT-4 on Azure, Azure AI Search (RAG), Content Safety | 2 Weeks |
| Module 6 GCP Vertex AI | Vertex AI Model Garden, AutoML, Gemini API, BigQuery ML, Vertex AI Pipelines | 2 Weeks |
| Module 7 MLOps & CI/CD | MLflow, DVC, GitHub Actions for ML, automated testing, model versioning, registry | 2 Weeks |
| Module 8 Docker & Kubernetes for AI | Containerizing ML models, Kubernetes pods, GPU workloads, Helm charts, scaling | 2 Weeks |
| Module 9 Monitoring & Capstone | Model drift detection, Evidently AI, automated retraining, end-to-end MLOps capstone | 2 Weeks |
9th Floor, Pearls Best Heights-I, Netaji Subhash Place,
Pitampura, New Delhi – 110034
Join the best Cloud in AI course in Pitampura. AWS, Azure & GCP — all in one program. Batch July 2026.
9th Floor, Pearls Best Heights-I, Netaji Subhash Place, Pitampura, New Delhi – 110034
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