Learn how to solve a real-world use case with machine learning using Amazon SageMaker.
About Fast Lane Inst. for Knowledge Transfer
The Fast Lane Group operates globally, across 60+ countries, in the delivery of technology, business and sales training. We also provide a comprehensive consultancy service in Cloud, Cybersecurity, Digital Transformation and Mobility. Fast Lane is an authorized training partner of many leading IT vendors. As a result Fast Lane can boast a large pool of Subject Matter Experts to assist with helping organisations to achieve their digital transformational goals, whatever they might be. Fast Lane also offer their own training programs around the latest technology trends.
Fast Lane Inst. for Knowledge Transfer
Fast Lane Inst. for Knowledge Transfer Products (50)
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This course teaches experienced developers how to programmatically interact with AWS services to build web solutions. It guides you through a high-level architectural discussion on resource selection and dives deep into using the AWS Software Development Kits (AWS SDKs) and Command Line Interface (AWS CLI) to build and deploy your cloud applications. You will build a sample application during this course, learning how to set up permissions to the development environment, adding business logic to process data using AWS core services, configure user authentications, deploy to AWS cloud, and debug to resolve application issues. The course includes code examples to help you implement the design patterns and solutions discussed in the course. The labs reinforce key course content and help you to implement solutions using the AWS SDK for Python, .Net, and Java, the AWS CLI, and the AWS Management Console.
This course builds upon and extends the DevOps practice prevalent in software development to build, train, and deploy machine learning (ML) models. The course stresses the importance of data, model, and code to successful ML deployments. It will demonstrate the use of tools, automation, processes, and teamwork in addressing the challenges associated with handoffs between data engineers, data scientists, software developers, and operations. The course will also discuss the use of tools and processes to monitor and take action when the model prediction in production starts to drift from agreed-upon key performance indicators.
Learn how to build and secure a data lake and optimize for cost and performance
Develop practical, in-depth skills for managing containers with Amazon EKS.
In this course, you will learn how finance professionals can use Amazon Web Services (AWS) to adopt cloud in a fiscally responsible manner. You will gain foundational knowledge to help you manage, optimize, and plan cloud spend. You will learn how to influence your organization’s builders to be more accountable and cost conscious. Finally, you will consider how you can use AWS to innovate in your finance organization.
The "Advanced Architecting on AWS" course builds on the topics covered in the "Architecting on AWS" course and is aimed at those with experience in designing scalable and elastic applications on the AWS platform.
This course is for individuals who seek an understanding of how to manage, optimize, and predict costs as you run workloads on AWS. You learn how to implement architectural best practices, explore cost optimization strategies, and design patterns to help you architect cost-efficient solutions on AWS.
The 4 day AWS Data Analytics course collection bundle combines the following courses: Building Data Lakes on AWS (BDLA), Building Batch Data Analytics Solutions on AWS (BBDAS), Building Data Analytics Solutions Using Amazon Redshift (BDASAR), Building Streaming Data Analytics Solutions on AWS (BSDASA). These four courses together replace the Big Data on AWS course track and cover key topics covered in the exam for the AWS Certified Data Analytics - Specialty certification.
Currently, the average cost of a security breach can be upwards of $4 million. AWS Security Best Practices provides an overview of some of the industry best practices for using AWS security and control types. This course helps you understand your responsibilities while providing valuable guidelines for how to keep your workload safe and secure. You will learn how to secure your network infrastructure using sound design options. You will also learn how you can harden your compute resources and manage them securely. Finally, by understanding AWS monitoring and alerting, you can detect and alert on suspicious events to help you quickly begin the response process in the event of a potential compromise.
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