Overview
Confidently select the optimal AWS service for any given technical requirement., Make informed decisions based on key factors like cost, performance, scalability, and features., Compare and contrast services within all major AWS categories (Compute, Storage, Database, ML, etc.)., Understand the key differences and specific use cases for similar services (e.g., RDS vs. DynamoDB, SQS vs. SNS).
IT professionals and technical managers who get overwhelmed by the large number of AWS services., Anyone who wants to move beyond what a service does and learn when and why to use it.
A foundational understanding of cloud computing concepts is required., Basic familiarity with the core AWS services is highly recommended (e.g., you should know what EC2, S3, and RDS are)., No programming experience or active AWS account is needed, as this course focuses on decision-making and theory.
Are you overwhelmed by the sheer number of services in the AWS cloud?
With hundreds of services, each with its own acronyms and features, the most difficult part of designing a solution on AWS is simply choosing the right tool for the job.
When should you use EC2 vs. Lambda vs. Fargate?
What's the real difference between RDS, DynamoDB, Aurora, and Redshift?
How do you decide between SQS, SNS, and EventBridge?
Is S3, EBS, or EFS the right choice for your storage needs?
Choosing the wrong service can lead to poor performance, runaway costs, and solutions that are difficult to scale. This course is designed to solve that problem.
This isn't just another "what is" course that lists services. This is a "when to use" and "why to choose" course.
We've done the hard work for you by creating a series of clear, practical, and opinionated decision guides for every major AWS category. Through concise lectures, we will systematically compare and contrast services side-by-side, focusing on the key factors that matter in the real world: cost, performance, scalability, integration, and management overhead.
In this course, you will master the art of AWS service selection for:
Compute
Storage
Databases
Application Integration
Analytics
Machine Learning
Security
By the end of this course, you will be able to look at any technical requirement and confidently and quickly select the most effective and cost-efficient AWS service to meet it. You'll stop guessing and start designing like a senior Solutions Architect.
Who is this course for?
Aspiring or current AWS Solutions Architects.
Developers and DevOps Engineers who build and deploy applications on AWS.
Anyone studying for AWS certifications (especially Solutions Architect Associate or Professional).
Technical managers who need to approve architectural decisions.
If you're tired of navigating the "analysis paralysis" of the AWS console, this course is for you.
Enroll today and learn to choose the right AWS service, every single time.
Deepak Dubey
Highly Skillful, Knowledgeable and Result-Driven IT Professional with over 20 years of Experience (Totally Hands-on).
AWS Cloud Architecture, Design, Development, DevOps, SysOps - EC2, ECS, EKS, Elastic Beanstalk, Lambda, S3, Glacier, Storage Gateway, RDS, DynamoDB, ElastiCache, Redshift, VPC, ELB, Route 53, CloudWatch, CloudFormation, CloudTrail, OpsWorks, Elastic MapReduce, Kinesis, Data Pipeline, SWF, SQS, SNS, SES
Big Data Engineering - Hadoop, HDFS, YARN, Hive, Spark, Kafka, MongoDB, HBase, Cassandra, Storm, ZooKeeper, Redis, Elastisearch, Logstash, Kibana, Grafana
Data Science, Machine Learning, AI, Python, TensorFlow, Natural Language Processing
Java/Java EE/Web/Web Services, Spring, Spring MVC, Microservices, RESTful API, Spring Boot, Hibernate Development
Full Stack Development experience using MERN (MongoDB, Express, ReactJS, Node) Stack. Proficient with Angular, HTML5, CSS3, Bootstrap, Ant Design
DevOps - Kubernetes, Docker, Jenkins, Maven, Gradle, GIT, JIRA, Terraform, Puppet, Chef, Ansible, Prometheus
Google Cloud Platform - Cloud SQL, Datastore, Bigtable, Cloud Spanner, Cloud Dataflow, Dataproc, BigQuery, AI Platform, Datalab, Dataprep, Data Studio, Cloud Composer
I hold 50+ Internationally recognized Professional Certifications listed as below:-
Amazon Web Services (9X Certified)
AWS Certified Solutions Architect - Professional
AWS Certified DevOps Engineer - Professional
AWS Certified Machine Learning - Specialty
AWS Certified Security - Specialty
AWS Certified Advanced Networking - Specialty
AWS Certified Data Analytics - Specialty
AWS Certified Database - Specialty
Google Cloud Certified Professional Machine Learning Engineer
TensorFlow Developer Certificate
Google Cloud Certified Professional Data Engineer
Microsoft Azure
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure AI Engineer Associate
Big Data
Elasticsearch, Logstash, Kibana Certified Engineer
Cloudera Certified Associate (CCA) Spark and Hadoop Developer
Confluent Certified Developer For Apache Kafka
Confluent Certified Operator for Apache Kafka
DevOps
Certified Kubernetes Application Developer
Certified Kubernetes Administrator
Docker Certified Associate
Certified Jenkins Engineer 2018
Python
Certified Python Associate
Java
OCP Java SE 6 & 8 Programmer
SOA and Web Services
Oracle SOA Suite 12c Certified Implementation Specialist
Oracle Certified Expert, Java EE 6 Web Services Developer
Security
CISSP & CISM
Enterprise Architecture and Management
TOGAF 9 Certified, PRINCE2 and ITIL