Ends in
00
days
00
hrs
00
mins
00
secs
SHOP NOW

📚 eBook Sale - Get eBooks as LOW as $2.99 USD ONLY!

Courses

  • 3 Lessons

    FREE AZ-900 Microsoft Azure Fundamentals Practice Exams – Sampler

    20 FREE AZ-900 Microsoft Azure Fundamentals Practice Test Questions in TIMED and REVIEW mode.

  • 3 Lessons

    FREE Google Certified Associate Cloud Engineer Practice Exams – Sampler

    20 FREE Google Certified Associate Cloud Engineer Practice Test Questions in TIMED and REVIEW mode.

  • 2 Lessons

    Fundamentals of Analytics on AWS – Part 1

    This course is the first of two offerings designed to introduce learners to the current market trends in analytics. In Part 1, you will learn fundamental concepts such as types of analytics, the 5 V's of big data, and the challenges associated with processing high volumes of data. This course also maps the 5 V's of big data to AWS services for analytics and discusses how AWS provides the most comprehensive services on the market. Following completion of this course, learners are encouraged to continue their journey with Fundamentals of Analytics on AWS -- Part 2.

  • 2 Lessons

    Fundamentals of Analytics on AWS – Part 2

    This course is the second of two offerings designed to introduce learners to the current market trends in analytics. Building upon the concepts introduced in Part 1, this course introduces learners to an overview of data lakes, data warehouses, and modern data architectures on AWS. You will learn about which AWS services can be used to build a data warehouse, data lakes, and modern data architectures on AWS. You will also see common modern data architecture use cases and a reference architecture.

  • 1 Lesson

    Fundamentals of Machine Learning And Artificial Intelligence

    In this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging field of generative artificial intelligence (generative AI). You will gain a solid understanding of foundational AI terms, laying the groundwork for a deeper dive into these concepts. Additionally, you will learn about a selection of Amazon Web Services (AWS) services that use AI and ML capabilities. You will gain practical insights into how these tools can be used to solve real-world problems and drive innovation across various industries.

  • 2 Lessons

    Generative AI in Action: Real-World Use Cases

    This course provides an overview of generative AI use cases and the business value they provide. Including real-world applications for generative AI across major industries and case studies.
  • 2 Lessons

    Generative BI with Amazon Q in QuickSight – Getting Started

    Amazon Q in QuickSight introduces a new suite of business intelligence (BI) capabilities by using the large language models (LLMs) of Amazon Bedrock and combining them with the capabilities of Amazon QuickSight. In this course, you will learn about technical concepts and the benefits of using Amazon Q in QuickSight. You will learn about the architecture of Amazon Q in QuickSight and how the built-in features help you to build dashboards and derive insights from your data with natural language queries.

  • 2 Lessons

    Getting Started with Amazon DocumentDB (with MongoDB compatibility)

    Using Amazon DocumentDB (with MongoDB compatibility), a document database service, you can store and scale JavaScript Object Notation (JSON) workloads. You don’t need to worry about running cluster management software, configuring backups, or monitoring production workloads. You can also migrate self-managed MongoDB-compatible databases to Amazon DocumentDB because it is fully managed.

    In this course, you will learn about the benefits and technical concepts of Amazon DocumentDB. You will review how to start with Amazon DocumentDB through a demo using the AWS Management Console and AWS Command Line Interface (AWS CLI). You will also learn about the native architecture and how built-in features help scale and manage your document database workload. The course covers where Amazon DocumentDB fits in a larger cloud-based architecture and includes typical use cases for building solutions.

  • 2 Lessons

    Getting Started with Amazon ElastiCache

    Amazon ElastiCache is a fully managed, in-memory caching service supporting flexible, real-time use cases. You can use ElastiCache for caching, which helps accelerate application and database performance, or for use cases like session stores, gaming leaderboards, streaming, and analytics. ElastiCache is compatible with Redis and Memcached. In this Getting Started course, you will learn the benefits, typical use cases, and technical concepts of ElastiCache. You will have an opportunity to try the service through a demonstration using the AWS Management Console or programming languages.
  • 2 Lessons

    Getting Started with Amazon Location Service

    Amazon Location Service lets you add location data to applications using maps, places, trackers, and geofences without compromising data security.

    In this course, you will learn the benefits, typical use cases, and technical concepts of Amazon Location. You will have an opportunity to try the service through provided sample code or the interactive tool in the AWS Management Console.

  • 2 Lessons

    Getting Started with Amazon MemoryDB for Redis

    Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database service that can deliver ultra-fast performance.

    In this course, you will learn about the MemoryDB service, including its benefits, typical use cases, pricing, and technical concepts. You will learn how you can try the service through the AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS Software Development Kits (SDKs).

  • 2 Lessons

    Getting Started with Amazon OpenSearch Service

    Amazon OpenSearch Service is a managed service that helps you perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch Service provisions all the resources for your cluster and launches it.
  • 2 Lessons

    Getting Started with Amazon Personalize

    In this course, you will learn how to use Amazon Personalize to build a personalized product experience for your customers. You will learn the basic terminology, important benefits and features, typical use cases, and costs. You will review the solution architecture you can use to build your own recommendation engines and personalization solutions. Through a guided tutorial, you will also build a movie recommendation engine solution in your own Amazon Web Services (AWS) account that you can further adapt to your use case.

    This course is a part of the Getting Started series for Amazon Personalize (AWS console access required).

  • 2 Lessons

    Getting Started with Amazon RDS for MariaDB

    With Amazon Relational Database Service (Amazon RDS) for MariaDB, you can run the MariaDB open-source database engine on the Amazon Web Services (AWS) relational database service, Amazon RDS.

    In this Getting Started course, you will learn the benefits, typical use cases, and technical concepts of Amazon RDS for MariaDB. You will be able to try the service through demonstrations using the Amazon RDS console.

  • 2 Lessons

    Getting Started with Amazon Textract

    Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents and goes beyond optical character recognition (OCR) to identify, understand, and extract data from forms and tables.

  • 2 Lessons

    Getting Started with AWS Audit Manager

    AWS Audit Manager helps you continuously audit your AWS usage and simplify risk and compliance assessment against regulations, internal control frameworks, and industry standards. Audit Manager automates evidence collection to reduce the manual effort of several cross-functional teams that audit activities often require. It can also help you to scale your auditing capabilities in the cloud as your business grows.

  • 2 Lessons

    Getting Started with AWS CloudFormation

    AWS CloudFormation gives you a way to model a collection of related AWS and third-party resources, provision them quickly and consistently, and manage them throughout their lifecycles. In this “Getting Started” course, you will learn the basics of CloudFormation and how to use it to manage your infrastructure.

  • 2 Lessons

    Getting Started with AWS CloudTrail

    AWS CloudTrail monitors and records account activity across your Amazon Web Services (AWS) infrastructure. The service helps you gain control over storage, analysis, and remediation actions.

    In this Getting Started course, you will learn the benefits, typical use cases, and technical concepts of CloudTrail.

  • 2 Lessons

    Getting Started with AWS Database Migration Service (AWS DMS)

    AWS Database Migration Service (AWS DMS) helps you migrate databases to Amazon Web Services (AWS) efficiently and securely. You can also use AWS DMS to migrate your data to and from the most widely used commercial and open-source databases. It supports homogenous and heterogenous database migrations.

Skip to content