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Authoritative AWS

Noah Gift

Gain in-depth knowledge of AWS core services like EC2, S3, VPC, and IAM - Master AWS networking and security best practices to deploy robust, compliant solutions - Learn advanced cloud architecture principles to design scalable, fault-tolerant systems - Explore AWS big data and machine learning services for data analytics workloads - Prepare for AWS Certified Solutions Architect - Professional and other AWS certifications - Get hands-on through integrated labs and projects using real AWS environments

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What's inside

Learning objective

Fundamentals of cloud computing on aws - core aws compute, storage, networking, and security services - aws infrastructure setup and operations - advanced vpc design and connectivity options - aws security controls and compliance requirements - detecting and mitigating cloud security threats - high availability and fault tolerance architecture patterns - continuous integration, deployment, and automation - data collection, storage, and processing on aws - building and deploying machine learning models

Syllabus

Foundations of AWS Introduction to cloud computing and foundational AWS services. Covers AWS operations and includes a graded quiz.
Networking Mastery on AWS Explores network design, implementation, management, security, compliance, and governance on AWS. Includes a graded quiz.
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Fortifying Your Cloud: AWS Security Essentials Covers threat detection, logging and monitoring, infrastructure security, identity and access management, data protection, and management and security on AWS.
Architecting for Excellence: AWS Solutions Architect Pro Focuses on organizational complexity, designing new solutions, continuous improvement, and accelerating workload migration and modernization on AWS. Includes a graded quiz.
Unlocking Insights: AWS Data Analytics Specialty Covers data collection, storage and data management, processing, analysis and visualization, and security for data analytics on AWS. Includes a graded quiz.
Machine Learning Mastery on AWS Explores data engineering, exploratory data analysis, modeling, and ML implementation and operations on AWS. Includes a graded quiz.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides core knowledge on key Amazon Web Services (AWS), including EC2, S3, VPC, and other related services
Suitable for learners seeking to gain in-depth expertise in AWS architecture design and implementation
Prepares learners for certification exams like AWS Certified Solutions Architect - Professional
Emphasizes hands-on experience through integrated labs and projects, including real-life AWS environments
Designed for individuals with an interest in designing scalable, fault-tolerant systems
Useful for professionals seeking to enhance their knowledge of data analytics and machine learning applications in cloud environments

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Authoritative AWS with these activities:
Organize and Review Course Materials
Enhance comprehension by organizing and reviewing course materials regularly.
Show steps
  • Collect and Organize Notes and Materials
  • Annotate and Summarize Materials
  • Create Study Guides and Outlines
  • Regularly Review and Revise Materials
Connect with AWS Experts
Seek guidance from experienced AWS professionals to enhance understanding and gain industry insights.
Show steps
  • Identify Potential Mentors
  • Reach Out and Introduce Yourself
  • Establish Mentorship Relationship
  • Engage in Regular Discussions
Practice AWS CLI Commands
Develop proficiency in using the AWS CLI to manage AWS resources and services.
Show steps
  • Install AWS CLI
  • Configure AWS CLI Credentials
  • Practice basic AWS CLI commands
  • Practice advanced AWS CLI commands
Four other activities
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Show all seven activities
Configure and Manage VPCs
Enhance understanding of VPCs by following guided tutorials on their configuration.
Browse courses on Virtual Private Cloud
Show steps
  • Identify VPC Use Cases
  • Create and Configure VPCs
  • Subnet Creation and Configuration
  • Security Group Management
  • Network Access Control
Participate in AWS Workshops and Hackathons
Engage in hands-on activities and compete with peers to refine AWS skills.
Show steps
  • Identify Relevant Workshops and Hackathons
  • Prepare for Participation
  • Participate in Workshops and Hackathons
  • Reflect on Experience and Apply Learnings
Lab: Deploy a Web Application
Apply acquired knowledge by creating a hands-on lab environment to deploy a web application.
Browse courses on Web Application Deployment
Show steps
  • Provision EC2 Instances
  • Configure S3 Buckets for Storage
  • Set Up RDS for Database
  • Configure Load Balancing
  • Deploy and Test Web Application
Design and Implement a Cloud Architecture
Integrate course concepts by designing and implementing a complete cloud architecture solution.
Browse courses on Cloud Architecture Design
Show steps
  • Define Project Requirements
  • Design and Model Cloud Architecture
  • Implement Cloud Architecture
  • Test and Evaluate Architecture
  • Optimize and Iterate Architecture

Career center

Learners who complete Authoritative AWS will develop knowledge and skills that may be useful to these careers:

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Course image
Effort
3 to 6 hours per week for 6 weeks
Level
Introductory
Via
edX
Institution
Pragmatic AI Labs
Instructor
Noah Gift
Session
May 20, 2024 - May 20, 2025
Language
English
Transcript
English
Good to know
Provides core knowledge on key Amazon Web Services (AWS), including EC2, S3, VPC, and other related services
Suitable for learners seeking to gain in-depth expertise in AWS architecture design and implementation
Prepares learners for certification exams like AWS Certified Solutions Architect - Professional
Emphasizes hands-on experience through integrated labs and projects, including real-life AWS environments
Designed for individuals with an interest in designing scalable, fault-tolerant systems
Useful for professionals seeking to enhance their knowledge of data analytics and machine learning applications in cloud environments
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