Cloud
Learn to Command the Sky
One Cloud at a Time
At MyndNova, we deliver a comprehensive 360-degree cloud training experience. Not just theory, not just exams, but real-world readiness. We leverage the most robust and trusted cloud ecosystems in the industry, including AWS, Microsoft Azure, and Google Cloud Platform, to ensure our learners are equipped for success in today’s hybrid, multi-cloud environments.
This is not your average certification course. Our program is built for professionals who demand depth, clarity, and hands-on expertise, not just a paper qualification. From cloud architecture and DevOps to security and data services, we cover every angle with real use cases, guided labs, and simulated projects that mirror enterprise-level deployments.
Platforms Covered:
Amazon Web Services (AWS)
Deep-dive into EC2, RDS, Lambda, S3, IAM — learn through building real-world deployments.
Microsoft Azure
Architect secure, scalable applications with Azure Functions, Virtual Networks, and Azure DevOps.
Google Cloud Platform (GCP)
Master cloud-native frameworks, Kubernetes, serverless, and BigQuery.Outcome: Speak the language of cloud architects — and deploy like one.
AWS Certified DevOps Engineer
Professional
AWS Certified DevOps Engineer - Professional showcases advanced technical expertise in provisioning, operating, and managing distributed application systems on AWS
AWS Certified SysOps Administrator
Associate
AWS Certified SysOps Administrator - Associate validates skills and knowledge in monitoring and maintaining AWS workloads, implementing security controls and networking concepts
AWS Certified Solutions Architect
Associate
AWS Certified Solutions Architect - Associate is focused on the design of cost and performance optimized solutions. This is an ideal starting point for candidates with AWS Cloud experience.
Microsoft Azure Fundamentals
Introduces foundational knowledge of Microsoft Azure services, cloud computing principles, pricing, and compliance. Ideal for beginners exploring careers in cloud, AI, or DevOps.
Data Engineering on Microsoft Azure
Recognizes proficiency in designing and implementing data solutions using Azure Data Services. Includes skills in data integration, transformation, pipeline development, storage, and performance
GenAI & ML
Validates applied skills in building, deploying, and managing AI solutions using Microsoft Azure’s AI services and Azure Machine Learning. Focuses on generative AI models, NLP, image recognition, and cognitive services integration.
Foundational certification
Demonstrates foundational knowledge of Google Cloud services, cloud computing concepts, and digital transformation principles. Ideal for business stakeholders or beginners in cloud careers.
Associate certification
Validates hands-on skills in deploying and managing Google Cloud projects. Covers core services like Compute Engine, Cloud Storage, IAM, and basic networking, ideal for early-career cloud professionals.
Professional certification
Google Cloud’s Professional-level certifications validate advanced expertise in designing, developing, securing, and managing scalable and reliable cloud solutions.