A Cloud Computing Learner’s Journey
- 2. LEARNING MODEL 100+ hrs of lessons Live Weekly Mentoring 12 Labs 300+ hrs of learning 5 Full Projects Industry Sessions THE FUTURE IS CLOUD Design.Build.Deploy.Repeat Learn how things actually work, not how they’re supposed to...
- 3. Market and Jobs Cloud history and future PREPARATORY WORK Starts as soon as you enrol! 1 2 3 4 5 Cloud Insights Linux, Shell, Networks refresher Assessment Quiz 00 Curated learning resources to give you a head start! Before you get into the details, get to know where it all started for the Cloud! Understand the current market, trends and job opportunities. Get to know what leading authors and institutions think about cloud and its impact. Finally, brush up your basic Linux, Shell and Networking concepts to set yourself up for success.
- 4. Learn Cloud characteristics and attributes Cloud Economics and Models History and Evolution CLOUD FOUNDATIONS Starts as soon as you enrol! 1 2 3 4 Stories and Definitions Impact and Innovation 01 CLOUD FOUNDATIONS 6 hrs Week 1 1 Understand virtualisation and resource pooling 2 Understand service and deployment models 3 Learn why scalability matters 4
- 5. Learn about AWS global infrastructure Storage Compute AWS CORE Starts as soon as you enrol! 1 2 3 4 Orgranization and Identity Networks 02 AWS CORE 24 hrs Week 2-5 1 Learn and work with EC2, S3, EBS and EFS 2 Understand and work with IAM 3 Understand VPCs and build them yourself 4
- 6. Learn about Relational DB services Data Analysis and Business Intelligence Caching,Queues and Notification AWS MANAGED SERVICES Starts as soon as you enrol! 1 2 3 4 Relational Databases Monitoring and Alerts 03 AWS MANAGED SERVICES 12 hrs Week 6-7 1 Learn and work with AWS Athena, Kinesis and QuickSight 2 Use WAF, SQS, SNS, SES and ElastiCache 3 Understand and implement CloudWatch Dashboards+Alerts 4
- 7. Learn absolute basics of RDBMS, NoSQL Data Stores and Big Data Management AWS EMR and Hive Apache Cassandra AWS DynamoDB BIG DATA AND CLOUD Starts as soon as you enrol! 1 2 3 4 Relational and NoSQL Databases Spark, Kafka, Flume and Zeppelin 04 BIG DATA AND CLOUD 24 hrs Week 8-11 1 Learn absolute basics of Big Data Analytics 2 Work with Cassandra and AWS DynamoDB 3Work with AWS EMR and Hive and learn from multiple hands-on case demos on Spark, Zeppelin etc. 4
- 8. Learn about system and App Containers with LXD and Docker Microservices AWS ECS and Docker CONTAINERS AND MICROSERVICES Starts as soon as you enrol! 1 2 3 4 LXD and Docker Cloud Design Patterns 05 CONTAINERS AND MICROSERVICES 24 hrs Week 12-15 1 Dive into the new way of building software with Microservices 2 Work with Docker and AWS Elastic Container Services 3 Discuss, debate and learn various Cloud design patterns 4
- 9. Learn basics of DevOps Monitoring and Logging Infrastructure as Code (IaC) CLOUD NATIVE DEVOPS 1 2 3 4 Continuous Integration and Continuous Delivery (CI/CD) Version Control 06 CLOUD NATIVE DEVOPS 12 hrs Week 16-17 1 Learn and use Terraform and CloudFormation 2 Learn and use AWS CodePipeline, CodeBuild and CodeDeplay 3 Understand and use AWS CodeCommit and Git 4
- 10. Learn about the fundemental components of a Cloud OpenStack Essentials Managed Services PRIVATE CLOUD Starts as soon as you enrol! 1 2 3 Core Cloud Services 07 PRIVATE CLOUD 10hrs Week 18-19 1 Learn and use OpenStack 2 Understand Core and Managed Services 3 Deploy a single node OpenStack Cloud 4
- 11. 5 Get introduced to Cloud adoption and migration concepts Migration Costs Analysis Workload Analysis CLOUD ADOPTION AND MIGRATION Starts as soon as you enrol! 1 2 3 4 Migration Maturity Index Adoption Strategies 08 CLOUD ADOPTION AND MIGRATION 6 hrs Week 20 1 Understand API based integration 2 Learn Migration Maturity Index (MMI) 3 Understand Cloud adoption strategies and Workload Analysis 4Adoption and Migration Use Cases
- 12. Organization and Identity ELECTIVE CLOUD PLATFORM 09 MICROSOFT AZURE 24 hrs Week 21-24 1 Containers, Logic Apps, CosmosDB 2 Compute, Storage and Networks 3 Serverless, Microservices 4 Orgranization and Projects GOOGLE CLOUD 24 hrs Week 21-24 1 Google Kubernetes Engine 2 Compute, Storage and Networks 3 App Engine and Cloud Functions 4 Choose any1 OR
- 13. CAPSTONE PROJECT Team project 3-4 members Comprehensive work 12 weeks Idea to implementation 4 phases 10 CAPSTONE PROJECT Week 12-24 Choose a real-life problem to solve Form a team Scope the problem Analyze services and costs Design a Cloud based solution Deploy and demonstrate live solution Evaluation by industry panel
- 14. EARN YOUR PGP IN CLOUD COMPUTING EARN YOUR PGP IN CLOUD COMPUTING Graduate with a certificate from Great Lakes Institute of Management
- 15. DEVELOPER TRACK SPECIALITY (Optional and free for all participants) Cloud Native Development 18 hrs Infrastructure as code 6 hrs Development project 3 weeks 10 App and data architecture for Cloud Serverless development PaaS based development Plan, create and dispose Cloud infrastructure Terraform and Vagrant AWS CloudFormation **Optional and free for all PGP-CC participants API Gateway, Cognito and Data pipeline • This track needs can be completed after completing all PGP-CC requirements. • Participants need to dedicate additional time. Participants need to register their interest in week 18 of PGP-CC. • Actual dates for Developer Track course may not immediately follow the elective courses and depends on class size.