Learning cloud computing puts professionals at an advantage due to its widespread applications. This infographic looks at how professionals can structure the cloud learning journey to achieve the outcomes they are looking for.
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.