Cloud Development Professional Training

OVERVIEW
Building Strategic Influence in Matrix Organizations

Cloud Development Professional is a 360° Training Program offered to professionals who want to deepen their knowledge and expertise in the field of AWS Cloud Computing. This program is updated regularly to comply with the latest industry standards, and is created and delivered by certified expert practitioners, with a passion for their craft.

The program includes two full track trainings:

The AWS Solution Architect track – Both associate level and professional level

The comprehensive DevOps track (DevOps Plus) – Both foundation and advanced level

This course is targeted towards professionals who desire to learn concepts and integrate skills relating to cloud computing and AWS into their work.

WHAT YOU'LL LEARN
Why you shouldn't miss this course

By the end of this course, participants will have the leadership toolkit to shape and steer GenAI portfolios across their organization.

01Gain in-depth understanding of AWS infrastructure and its services
02Formulate solution plans and provide guidance on AWS architectural best practices
03Design and deploy scalable, high availability and fault-tolerant systems on AWS
04Migrate complex and multi-tier applications on AWS and implement cost control strategies
05Achieve hands-on expertise in DevOps delivery model and gather an understanding of DevOps and modern DevOps tools
06Learn about automating all aspects of a modern code delivery and deployment pipeline using different tools
07AWS Solution Architect Associate Level
Learn the fundamentals of the AWS platform and cloud computing, including concepts like Virtualization, EC2, Glacier Storage, Cloud Formation, Amazon Virtual Private Cloud (VPC), Detailed AWS Certifications’ Guidelines, Well Architect Framework & its Pillars, AWS Pricing Models, etc.
08AWS Solution Architect Professional Level
Gain in-depth understanding of major concepts like AWS, Costing, Security, Data Storage, Network Design, Scalability and Elasticity, and Cloud Migration, Hybrid Architecture, SQS & SWF Overview, Elastic File System & Trusted Advisor, Autoscaling in AWS & Various Scaling Types, and Identity Access Management
09DevOps Plus:
Train thoroughly on the origin of DevOps tools, and get introduced to concepts of cloud computing, virtualization, VAGRANT and GIT. The module also covers topics like SaltStack for Configuration Management, Ansible for software provisioning, configuration management, and application deployment, Kubernetes for container clustering, and CI/CD Pipeline Automation.

PREREQUISITES
Recommended experience

CURRICULUM
Structured for
Strategic Application
  • Architect the appropriate level of availability based on stakeholder requirements
  • Implement DR for systems based on RPO and RTO
  • Learn appropriate use of multi-availability zones multi-region architectures
  • Implement self-healing capabilities
  • Minimize and optimize infrastructure cost
  • Account and billing set-up options
  • Cost implications of different architectures
  • Manage the lifecycle of an application on AWS
  • Architectures for development, testing, and staging environments
  • Position and select AWS deployment mechanisms by need
  • Complex large-scale deployment
  • Design and implement networking features of AWS
  • Design and implement connectivity features of AWS
  • Architectural trade off decisions involving storage options
  • Architectural trade off decisions involving database options
  • Implement the most appropriate data storage architecture
  • Synchronous versus asynchronous replication
  • Information security management systems and compliance controls
  • Security controls with the AWS shared responsibility model and global infrastructure
  • Identity and access management controls
  • Protection of Data at Rest controls
  • Protection of Data in Flight and Network Perimeter controls
  • Design a loosely-coupled system
  • Implement front-end scaling architecture
  • Implement middle-tier scaling architecture
  • Implement data storage scaling architecture
  • Vertical and horizontal scaling
  • Planning and execution of applications migrations
  • Design hybrid cloud architectures

RECOMMENDED PARTICIPANT SETUP
This course follows Cognixia's AI-first,
hands-on learning model

Access to sanitized process maps, KPI definitions, candidate initiative lists, and basic cost baselines (time, cycle time, error or rework rates)

INTERESTED IN THIS COURSE?
Let's Connect

Speak with a Cognixia specialist about enrollment options, custom cohorts for your leadership team, or tailored delivery formats for your organization.

Response within 1 business day
Available in 5 delivery formats globally
Volume pricing for teams of 10+
Get in touch

One of our specialists will contact you within one business day.

FAQs
Frequently
Asked Questions

Find details on duration, delivery formats, customization options, and post-program reinforcement.

Our instructors are certified professionals, having more than 14+ years of industry experience and are subject matter experts of Cloud Computing.

An internet speed of at least 2 Mbps is essential.

Candidates need not worry about losing any training session. They will be able to view the recorded sessions available on the LMS. We also have a technical support team to assist the candidates in case they have any query.

Access to the Learning Management System (LMS) is lifetime and includes class recordings, presentations, sample code, and projects.

Yes, a course completion certificate is provided once you successfully complete the training program. Successful completion of the course includes attendance in sessions as well as successful completion of an objective examination.

WHY COGNIXIA
Why Cognixia for This Course

KEEP EXPLORING
Mapped Official Learning
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Build portable, enterprise-grade GenAI systems that run consistently across Databricks, AWS, and Google Vertex AI—without vendor lock-in, quality drift, or governance gaps.
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Systematic testing, evaluation, and quality engineering frameworks for validating GenAI and agentic AI systems at enterprise scale.
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Production-grade GenAIOps and LLMOps practices to deploy, monitor, evaluate, and govern enterprise-scale LLM and agentic applications with reliability and control.
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Design, build, evaluate, and operate production-grade agentic AI systems with multi-agent orchestration, tool integration, and enterprise-grade safety controls.
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READY TO SHAPE YOUR AI FUTURE?
Let's build the workforce
of the future

Enroll your leadership cohort in Designing GenAI Use-Case Portfolios & Business Cases.
Custom cohorts available for enterprise teams.