AWS Solution Architect

Module 1: AWS Overview

Module 2: History and Evolution of AWS

Module 3: Overview of AWS Products and Services

Module 4: Designing Highly Available, Cost-efficient, Fault-tolerant, and Scalable Systems

Module 5: How to design Cloud Services

Module 6: Hybrid IT architectures

Module 7: Practice Assignment Designing Hybrid Storage

Module 8: Identity and Access Management (IAM)

Module 9: IAM Overview and Policies

Module 10: IAM Users, Groups, and Roles

Module 11: IAM Best Practices

Module 12: Practice Assignment Configuring IAM Access

Module 13: Amazon Virtual Private Cloud (VPC)

Module 14: Amazon VPC and Subnets

Module 15: Networking

Module 16: Using Security Groups and Network ACLs

Module 17: Amazon VPC Best Practices and Costs

Module 18: Practice Assignment Designing a Custom VPC

Module 20: Cloud Compute with AWS

Module 22: Amazon EC2 Overview

Module 23: Amazon Machine Images (AMI)

Module 24: Launch and connect to an EC2 Linux instance Demo 1

Module 25: Launch and connect to an EC2 Windows instance Demo 2

Module 26: Create an AMI Demo 3

Module 27: Introduction to EC2 Instance Types

Module 28: Overview of Amazon EBS

Module 29: EC2 Pricing

Module 30: Elastic Load Balancing (ELB)

Module 31: Auto Scaling

Module 32: AWS Services

Module 33: AWS Lambda Demo

Module 34: Amazon Elastic Container Service

Module 35: EC2 Best Practices and Costs

Module 36: Practice Assignment Configure ELB

Module 37: Amazon Simple Storage Service (S3)

Module 38: Overview and Buckets

Module 39: Version Control and Lifecycle Management

Module 40: CloudFront and CDNs

Module 41: Security and Encryption

Module 42: Amazon Import - Export Snowball

Module 43: Best Practices and Costs

Module 44: Practice Assignment Create an Amazon S3 bucket

Module 45: Amazon Route 53

Module 46: Amazon Route 53 Concepts

Module 47: Amazon Route 53 Best Practices and Costs

Module 48: Practice Assignment Amazon Route 53 Hosted Zone

Module 50: Databases Overview

Module 51: Amazon Relational Database Service (RDS)

Module 52: AMI Databases

Module 53: Amazon DynamoDB

Module 54: Amazon Redshift

Module 55: Amazon ElastiCache

Module 56: Amazon Aurora

Module 57: AWS Database Migration Services (DMS)

Module 58: Database Best Practices and Costs

Module 59: Practice Assignment Amazon RDS

Module 60: Application Services

Module 61: AWS Application Services

Module 62: Amazon Elastic Transcoder

Module 63: Amazon Workspaces

Module 64: Application Services Best Practices and Costs

Module 65: Practice Assignment Amazon SNS

Module 66: Security Practices for Optimum Cloud Deployment

Module 67: AWS Responsibilities and Security Attributes

Module 68: AWS CloudFormation and Design patterns

Module 69: Practice Assignment AWS CloudWatch

Module 70: Disaster Recovery

Module 71: Overview and Products for Disaster Recovery

Module 72: Practice Assignment Disaster Recovery

Module 73: Troubleshooting

Module 74: Troubleshooting and Support

Module 1: Data Science Introduction & Use Cases

Module 2: Python Basics: Basic Syntax, Data Structures/p>

All the courses are instructor-led and take place online. The online interface lets you and the faculty have a two-way interaction. It’s as good as sitting in a physical classroom.

All classes take place over the weekends in the mornings. There’ll be one class of 2 to 2.5 hours on Saturdays and Sundays each. This means that you can now acquire in-demand skills without compromising on your schedule.

Yes, the recordings of the trial classes are uploaded.

In physical classrooms, students generally feel hesitant to ask questions. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long distance commuting and disrupting your schedule.

We believe that unless you implement the concepts studied in the classes, you are unable to join the dots and hence can’t see the entire picture. Our capstone projects let you apply the learned concepts to real-world data sets. You’ll be working on real-time data-sets (which can run in 100s of MBs or possibly in GBs!) which you get to choose from a variety of domains such as retail, finance, social media, healthcare, etc. These datasets have been curated from top sources such as World Bank, US Health Department, Carnegie Mellon, Stanford and many more.

You’ll get access to our virtual computing lab through the login credentials provided to you. The virtual machines will enable you to work on “Big Data” sets for your projects and practice hands-on too.

We provide certification of completion to students who attend at least 70% of the classes. After the course ends, we conduct a certification exam that evaluates them on the skills they have learnt. Certification from Hatigen is provided to only those who clear the exam. The exam is purely case-based and not even a single theory question is asked.

We provide career workshops and industry immersion sessions to help you become ready for roles you are aspiring for. We also help you in resume review and interview preparation. If you diligently follow our advice, you should start getting interview calls as soon as you finish the course.