Learn to build scalable and secure data lakes with AWS Lake Formation while learning how to optimize for cost and performance.

Understand the data analytics pipeline and prepare to deploy data lakes that solve your business’s data challenges.

In this AWS Data course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data.

Whether you attend virtually or in-person, you’ll have the opportunity to ask questions, work through solutions, and get real-time feedback from accredited AWS instructors with deep technical knowledge. The course lectures and labs further your learning with the exploration of several common data lake architectures and prepares learners for the AWS Certified Data Analytics – Specialty certification.

Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2024 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.

Invest in your team’s future success and give them the tools they need to succeed in the cloud. Enroll in our AWS Training and Certification program in 2025!

Learn to design and implement streaming data analytics solutions using AWS Services with an expert AWS instructor.

This Building Streaming Data Analytics Solutions on AWS course dives deep into Amazon Kinesis and Amazon MSK through a mixture of instructor-led presentations, practice labs, demonstrations, and class exercises so you can walk away understanding how to build a streaming data analytics solution on AWS.

You’ll also learn how to scale streaming applications using Amazon Kinesis, optimize data storage, how to select and deploy appropriate options to ingest, transform, store, and analyze data, and more.

Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2024 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.

Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

Exam Readiness: AWS Certified Machine Learning Engineer – Associate (MLA-C01) is a one-day ILT where you learn how to assess your preparedness for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam. The exam validates a candidate’s ability to build, operationalize, and maintain machine learning (ML) solutions and pipelines by using the AWS Cloud.

This intermediate-level course prepares you for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam by providing a comprehensive exploration of the exam topics. You’ll delve into the key areas covered on the exam, understanding how they relate to developing AI and machine learning solutions on the AWS platform. Through detailed explanations and walkthroughs of examstyle questions, you’ll reinforce your knowledge, identify gaps in your understanding, and gain valuable strategies for tackling questions effectively. The course includes review of exam-style sample questions, to help you recognize incorrect responses and hone your test-taking abilities. By the end, you’ll have a firm grasp on the concepts and practical applications tested on the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam.