Whizlabs

AWS Core+: Technical Essentials for Team Managers Specialization

Whizlabs

AWS Core+: Technical Essentials for Team Managers Specialization

Build AWS Cloud and AI Foundations.

Develop practical AWS Cloud architecture, Security & Gen AI skills for modern technical leadership.

Whizlabs Instructor

Instructor: Whizlabs Instructor

Included with Coursera Plus

Get in-depth knowledge of a subject
Beginner level

Recommended experience

12 weeks to complete
at 3 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

12 weeks to complete
at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build foundational knowledge of AWS cloud services, architecture, security, and governance.

  • Understand deployment automation, monitoring, infrastructure as code, and serverless computing concepts.

  • Explore generative AI and Amazon Bedrock capabilities for modern cloud and AI-driven solutions.

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Taught in English
Recently updated!

June 2026

91%

of learners achieved a positive career outcome

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  • Develop a deep understanding of key concepts
  • Earn a career certificate from Whizlabs

Specialization - 6 course series

Cloud Foundations & AWS Basics

Cloud Foundations & AWS Basics

Course 1, 4 hours

What you'll learn

  • Understand cloud computing concepts, service models, and deployment models

  • Learn AWS fundamentals, Global Infrastructure, and AWS Console basics

  • Build foundational AWS and cloud computing knowledge

Skills you'll gain

Category: Cloud Computing
Category: Scalability
Category: Amazon Web Services
Category: Multi-Cloud
Category: System Support
Category: Software As A Service
Category: Cloud Management
Category: Infrastructure As A Service (IaaS)
Category: Cloud Services
Category: Cloud Platforms
Category: Cloud Deployment
Category: Hybrid Cloud Computing
Category: Platform As A Service (PaaS)
Category: Cloud Engineering
Category: Cloud Infrastructure
Category: Cloud Computing Architecture
Category: Public Cloud
AWS Architecture, Governance & Monitoring

AWS Architecture, Governance & Monitoring

Course 2, 7 hours

What you'll learn

  • Apply AWS Well-Architected principles to design secure, scalable, and cost-efficient cloud architectures

  • Implement monitoring, logging, and governance using CloudWatch, CloudTrail, and AWS Config

  • Automate infrastructure and plan cloud migrations using CloudFormation and AWS migration strategies

Skills you'll gain

Category: AWS CloudFormation
Category: Cloud Security
Category: Event Monitoring
Category: Cloud Standards
Category: Continuous Monitoring
Category: Cloud Management
Category: Cloud Infrastructure
Category: Scalability
Category: Infrastructure as Code (IaC)
Category: Amazon CloudWatch
Category: Configuration Management
Category: Amazon Web Services
Category: Cloud Solutions
Category: System Monitoring
Category: Data Migration
Category: Cloud Computing Architecture
AWS Security, Identity & Cost Management

AWS Security, Identity & Cost Management

Course 3, 4 hours

What you'll learn

  • Understand AWS IAM concepts including users, groups, roles, policies, and security best practices

  • Learn how to monitor AWS costs, manage governance, and optimize cloud environments using AWS Organizations, Cost Explorer, and Trusted Advisor

  • Explore AWS security services for threat detection, compliance, encryption, and data protection in AWS environments

Skills you'll gain

Category: Security Management
Category: Continuous Monitoring
Category: Anomaly Detection
Category: AWS Identity and Access Management (IAM)
Category: Security Controls
Category: Cloud Management
Category: Role-Based Access Control (RBAC)
Category: Threat Detection
Category: Data Security
Category: Multi-Factor Authentication
Category: Vulnerability Assessments
Category: Cloud Security
Category: Key Management
Category: Amazon Web Services
Category: Identity and Access Management
AWS Core Services (Compute, Storage & Networking)

AWS Core Services (Compute, Storage & Networking)

Course 4, 6 hours

What you'll learn

  • Understand core AWS storage, compute, serverless, and container services used in cloud environments

  • Learn how to build scalable and highly available applications using services such as EC2, Auto Scaling, ELB, Lambda, ECS, and EKS

  • Identify the right AWS storage and compute solutions based on application, performance, and deployment requirements

Skills you'll gain

Category: Amazon Elastic Compute Cloud
Category: Application Deployment
Category: Containerization
Category: Load Balancing
Category: Serverless Computing
Category: Event-Driven Programming
Category: Cloud Storage
Category: Amazon S3
Category: Amazon Web Services
Category: Cloud Services
Category: Cloud-Native Computing
Category: Capacity Management
Category: Data Storage Technologies
Category: Cloud Deployment
Category: Cloud Infrastructure
Category: Data Storage
Category: Scalability
Category: Cloud Engineering
Category: Kubernetes
Category: Infrastructure As A Service (IaaS)
Generative AI & Prompt Engineering

Generative AI & Prompt Engineering

Course 5, 6 hours

What you'll learn

  • Understand core Generative AI concepts, foundation models, prompt engineering, and AI application use cases

  • Learn how to design effective prompts, optimize AI responses, and apply prompt engineering techniques

  • Explore Amazon Q and Amazon Bedrock services for building secure, scalable, and intelligent Generative AI applications

AI/ML & Advanced AWS Services

AI/ML & Advanced AWS Services

Course 6, 6 hours

What you'll learn

  • Understand advanced Generative AI concepts, prompt engineering, foundation models, and RAG architectures on AWS

  • Learn machine learning and MLOps workflows using Amazon SageMaker and AWS AI/ML operational services

  • Explore AWS AI services for conversational AI, intelligent search, speech, vision, translation, and personalization use cases

Skills you'll gain

Category: Data Wrangling
Category: Model Deployment
Category: Retrieval-Augmented Generation
Category: MLOps (Machine Learning Operations)
Category: Amazon Bedrock
Category: AWS SageMaker
Category: Natural Language Processing
Category: Generative AI
Category: Artificial Intelligence
Category: Image Analysis
Category: Prompt Engineering
Category: Computer Vision
Category: Amazon Web Services
Category: Agentic Workflows
Category: Model Training
Category: Large Language Modeling
Category: Generative AI Agents
Category: AI Workflows
Category: Artificial Intelligence and Machine Learning (AI/ML)

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Instructor

Whizlabs Instructor
Whizlabs
164 Courses122,893 learners

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Whizlabs

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