AWS Core+: Technical Essentials for Team Managers

The AI/ML & Advanced AWS Services course provides foundational and intermediate knowledge of Generative AI, AWS AI services, machine learning workflows, and MLOps practices used to build intelligent cloud applications. Learners will explore advanced Generative AI concepts, AWS AI/ML services, foundation models, prompt engineering, intelligent search, conversational AI, computer vision, and machine learning operations on AWS. The course covers advanced Generative AI techniques including prompt engineering, fine-tuning, RAG architecture, foundation models, Amazon Bedrock, Guardrails, Bedrock Agents, and AI-powered application workflows. Learners will also explore AWS AI services such as Amazon Rekognition, Amazon Lex, Amazon Kendra, Amazon Polly, Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Textract, Amazon Personalize, and other intelligent AWS services. In addition, the course introduces machine learning and MLOps concepts using Amazon SageMaker, SageMaker Feature Store, SageMaker Data Wrangler, SageMaker Model Monitor, SageMaker JumpStart, and AWS MLOps services to help learners understand end-to-end ML lifecycle management and operational AI workflows. This course is structured into three modules with approximately 7–9 hours of video content and quizzes to reinforce learning. Course Modules: Module 1: Advanced GenAI Techniques Module 2: AWS AI Services Module 3: Machine Learning & MLOps By the end of this course, learners will be able to: Understand advanced Generative AI concepts and foundation models Explore prompt engineering, fine-tuning, and RAG architectures Understand Amazon Bedrock, Guardrails, Agents, and AI integrations Explore AWS AI services for speech, vision, search, translation, and conversational AI Understand machine learning workflows using Amazon SageMaker Explore MLOps concepts, monitoring, feature stores, and ML lifecycle management Identify appropriate AWS AI/ML services for different business and application requirements This course is ideal for learners preparing for AWS AI/ML roles, Generative AI solutions, machine learning operations, cloud AI engineering, and AWS AI certification fundamentals.

The AWS Core Services (Compute, Storage & Networking) course provides foundational knowledge of core AWS infrastructure services used to build scalable and modern cloud applications. Learners will explore AWS storage services such as Amazon S3, S3 Glacier, EBS, EFS, EC2 Instance Store, and AWS Backup, along with compute services including Amazon EC2, Auto Scaling, and Elastic Load Balancing. The course also covers serverless and container technologies including AWS Lambda, AWS Elastic Beanstalk, Amazon ECS, and Amazon EKS to help learners understand modern application deployment approaches on AWS. This course is structured into three modules with approximately 6–8 hours of video content and quizzes to reinforce learning. Course Modules: Module 1: AWS Storage Services Module 2: AWS Compute Services Module 3: AWS Serverless & Containers By the end of this course, learners will be able to: Understand core AWS storage, compute, serverless, and container services Configure scalable and highly available AWS infrastructures Understand Auto Scaling, Load Balancing, backup, and storage optimization concepts Explore serverless application deployment using AWS Lambda Understand container orchestration using Amazon ECS and Amazon EKS Identify appropriate AWS services for different infrastructure and application requirements This course is ideal for learners preparing for AWS cloud engineering, cloud operations, solution architecture, and AWS certification fundamentals.

The Cloud Foundations & AWS Basics course is designed to provide learners with a strong foundation in cloud computing concepts and core AWS fundamentals. This course introduces the essential principles of cloud computing, cloud deployment models, AWS infrastructure, and foundational AWS services required to begin a cloud journey confidently. The course covers key concepts such as cloud computing models, on-premises vs cloud environments, cloud service models including IaaS, PaaS, and SaaS, and deployment models such as Public, Private, Hybrid, and Multi-Cloud. Learners will also explore AWS Cloud fundamentals, AWS Global Infrastructure, Region selection strategies, AWS account setup, AWS Console navigation, and AWS support plans. This course is structured into two modules, each containing lessons and video lectures. Learners will engage with approximately 4–6 hours of video content, combining conceptual understanding with practical cloud learning insights. Each module includes quizzes to reinforce learning and validate understanding of key concepts. Course Modules: Module 1: Cloud Fundamentals Module 2: AWS Fundamentals By the end of this course, a learner will be able to: - Understand core cloud computing concepts and benefits - Differentiate between cloud service models such as IaaS, PaaS, and SaaS - Compare Public, Private, Hybrid, and Multi-Cloud deployment models - Understand the differences between on-premises and cloud environments - Explain AWS Cloud fundamentals and AWS Global Infrastructure concepts - Choose AWS Regions based on latency, pricing, compliance, and availability requirements - Set up and navigate an AWS account and AWS Management Console - Understand AWS support plans and foundational operational best practices - Gain practical exposure to cloud learning environments such as Hands-on Labs and Sandbox environments This course is ideal for individuals beginning their cloud computing journey and looking to build a strong understanding of cloud fundamentals and AWS basics. It provides the foundational knowledge required for cloud engineering, cloud operations, and AWS certification preparation.

The AWS Security, Identity & Cost Management course provides foundational knowledge of AWS identity management, cloud security, governance, compliance, and cost optimization. Learners will explore IAM users, groups, roles, and policies, along with IAM best practices such as least privilege access and MFA. The course also covers AWS Organizations, AWS Cost Explorer, AWS Trusted Advisor, and AWS Marketplace to help learners understand governance, cloud cost management, and operational optimization. In addition, learners will explore AWS security services including Amazon GuardDuty, Amazon Inspector, AWS Security Hub, AWS KMS, AWS Certificate Manager, Amazon Macie, AWS Artifact, AWS Knowledge Center, and AWS Security Blog. This course is structured into two modules with approximately 5–7 hours of video content and quizzes to reinforce learning. Course Modules: Module 1: AWS Identity Management & Cost Optimization Module 2: AWS Security Services By the end of this course, learners will be able to: Understand IAM users, groups, roles, and policies Apply IAM security best practices Understand AWS Organizations and governance concepts Monitor and optimize AWS costs Use AWS security services for threat detection and compliance Protect data using encryption and security services Understand operational security and governance best practices This course is ideal for learners preparing for AWS cloud administration, security operations, governance, and AWS certification fundamentals.

The AWS Architecture, Governance & Monitoring course is designed to provide learners with a strong foundation in designing, managing, and governing cloud architectures on AWS. This course is part of the AWS Core+: Technical Essentials for Team Managers Specialization and focuses on applying AWS best practices to build secure, scalable, and well-architected solutions. The course covers essential concepts such as the AWS Cloud Adoption Framework (CAF), Shared Responsibility Model, and AWS Well-Architected Framework, including deep dives into all six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. Learners will also explore monitoring, logging, infrastructure automation, and migration strategies using core AWS services. This course is structured into two modules, each containing lessons and video lectures. Learners will engage with approximately 5–7 hours of video content, combining conceptual understanding with practical insights. Each module includes quizzes to reinforce learning and validate understanding of key topics. Course Modules: Module 1: Architecture Pillars & Best Practices Module 2: AWS Monitoring, Logging & Infrastructure Management By the end of this course, a learner will be able to: - Understand AWS architectural best practices using the Well-Architected Framework - Apply the AWS Shared Responsibility Model in real-world scenarios - Design secure, reliable, and scalable cloud architectures - Implement monitoring and logging using CloudWatch, CloudTrail, and AWS Config - Automate infrastructure deployment using AWS CloudFormation - Evaluate and apply migration strategies for cloud adoption - Optimize architectures for performance, cost, and sustainability This course is ideal for individuals looking to build a strong understanding of AWS architecture, governance, and operational best practices, enabling them to design and manage production-ready cloud environments with confidence.