Building from the learning obtained in prior courses in AI/ML, this course will review advanced tools, methods and trends in AI/ML. The course is a mix of lecture, demonstration and hands-on exercises. The course typically features guest lecturers from research, academia and industry. Advanced computational models, open source projects and cloud services will be considered. […]
This course helps students develop a broad familiarity with primary tools and techniques in modern data analytics and machine learning and how they are applied to a wide range of business, scientific and engineering problems. Course duration 3 to 10 Days (see the outline options below)
Business success in the information age is predicated on the ability of organizations to convert raw data coming from various sources into high-grade business information. To stay competitive, organizations have started adopting new approaches to data processing and analysis. For example, data scientists are turning to Apache Spark for processing massive amounts of data using […]
Artificial Intelligence is everywhere and today’s business managers need to understand and embrace it. AI can help businesses reengineer their processes for higher revenue, higher customer satisfaction and lower cost. This course teaches the fundamentals of artificial intelligence and how machine learning is a crucial component of the AI infrastructure. Participants will learn how machine […]
In this intermediate-level course, individuals learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also […]
This course introduces students to the Cloud Computing value proposition; Cloud Computing solution models, and core Amazon Web Services (AWS) services and foundational technologies. Course attendees are provided with insights that will enable them to intelligently translate their organization’s business requirements into Cloud and AWS-based IT solutions. Topics covered include: Articulate the Cloud Computing Business […]
This is an intensive, hands-on introduction to Data Engineering as it relates to Big Data applications. Participants will leverage numerous programming languages to gain hands-on experience with toolsets required in Big Data applications.
The purpose of this course is for a student to get a broad familiarity with the relevant concepts of data analytics and data science and how they are applied to a wide range of business, scientific and engineering problems. The course will also explore the unique challenges of doing data analytics at very large scales, […]
Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. […]
This course provides an in-depth overview of the choices you have in processing Big Data. It introduces Big Data, the types of data you might have, approaches to working on and processing the data, and the capabilities, strengths, and weaknesses of those approaches. Topics covered include: NewSQL Databases NoSQL Overview Hadoop and MapReduce Apache Pig […]
This course is offered in a number of variants, each of which focuses on data within a specific industry or domain (e.g. finance, health care, marketing, and IT/Cyber). The IT/Cyber course focuses on the analysis of data within an enterprise IT infrastructure, to be analyzed for the purposes of monitoring the health and security of […]
This course takes a practical approach to understanding key methods for Data Analytics by using common tools: SQL, Excel, and Python. Participants will perform common analytics activities: Interacting with a SQL database; writing an ETL script; outputting to Excel; use Excel and Tableau for data visualization.