TechVare Learning

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170+ expert-led courses across ARM, VLSI, Embedded, Cloud, and AI domains. All taught by industry veterans with 10-25+ years of experience.

170+
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40+
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10 Courses Found

Filtered by: Cloud & AI

AWS Solutions Architect Professional
Cloud-AIAdvanced

AWS Solutions Architect Professional

Master AWS architecture design, migration strategies, and complex cloud solutions for enterprise.

⏱️ 60 hours
👨‍🏫 Sandeep Menon
Azure DevOps & CI/CD Pipelines
Cloud-AIIntermediate

Azure DevOps & CI/CD Pipelines

Build robust CI/CD pipelines using Azure DevOps, GitHub Actions, and infrastructure automation.

⏱️ 55 hours
👨‍🏫 Amit Verma
Cloud Security & Compliance
Cloud-AIAdvanced

Cloud Security & Compliance

Implement robust cloud security across AWS, Azure, GCP with focus on compliance and governance.

⏱️ 60 hours
👨‍🏫 Vikram Malhotra
Deep Learning with PyTorch & TensorFlow
Cloud-AIAdvanced

Deep Learning with PyTorch & TensorFlow

Master deep learning frameworks, neural network architectures, and production deployment.

⏱️ 70 hours
👨‍🏫 Dr. Shalini Reddy
Generative AI & Large Language Models
Cloud-AIAdvanced

Generative AI & Large Language Models

Master Generative AI, LLMs, prompt engineering, and fine-tuning for enterprise applications.

⏱️ 70 hours
👨‍🏫 Dr. Arvind Shah
Google Cloud Platform Complete
Cloud-AIIntermediate

Google Cloud Platform Complete

Master GCP services including Compute Engine, GKE, BigQuery, and cloud-native development.

⏱️ 60 hours
👨‍🏫 Prashant Kumar
Kubernetes & Container Orchestration
Cloud-AIAdvanced

Kubernetes & Container Orchestration

Master Kubernetes for production workloads with advanced topics like operators, service mesh, and security.

⏱️ 65 hours
👨‍🏫 Rahul Nair
Machine Learning on AWS SageMaker
Cloud-AIAdvanced

Machine Learning on AWS SageMaker

Train, deploy, and manage machine learning models at scale using Amazon SageMaker.

⏱️ 60 hours
👨‍🏫 Dr. Kavita Desai
MLOps: Production ML Systems
Cloud-AIAdvanced

MLOps: Production ML Systems

Build production ML pipelines with CI/CD, model monitoring, versioning, and automated retraining.

⏱️ 65 hours
👨‍🏫 Sneha Iyer
Terraform & Infrastructure as Code
Cloud-AIIntermediate

Terraform & Infrastructure as Code

Master Terraform for multi-cloud infrastructure automation and GitOps workflows.

⏱️ 50 hours
👨‍🏫 Rohan Joshi

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