Immerse Training

Our Interactive and Remote Collaboration Platform Pairs Users With Expert Instructors

Our Immerse Training brings together our interactive and remote collaboration platform with expert, hands-on consultant instructors who have been there and done it, and who know a thing or two about the human experience (HX), given that’s what they do. So, if your Immerse training session is about AI and Machine Learning, your instructor has developed AI/ML models for Nike, Starbucks and Amazon, not just read about them. Up your skills with our experts and make yourself indispensable.

Let us show you how OZ can help train and educate YOU!

Schedule a Call with an OZ Training Expert

Train for a Competitive Advantage While Working Remotely

An Online Education That Sets You Apart

OZ is a consulting company focused on CX, and our experts masterfully deliver highly engaging, interactive, and impactful training experiences.

Benefits:
- Gain verifiable and relevant skills on the latest digital technologies.
- Enjoy a personalized learning experience delivered conveniently online.
- Interact with OZ experts "live" to enhance the learning.

Know Your Training Experts

Murray Izenwasser

VP of Consulting, Design Thinking
Murray Izenwasser, VP of Consulting, Design Thinking at OZ

Pat Sanchez

Innovation Lab Director
Pat Sanchez, Innovation Labs Lead at OZ

Imran Sabir

Consulting, Automation Director
Imran Sabir, Consulting, Automation Lead at OZ

Sal Cardozo

VP of Consulting, Analytics & AI
Sal Cardozo, VP of Consulting, Analytics & AI at OZ

Your Learning Journey

OZ presents relevant and timely courses on digital technologies that are transforming our world. Learn from OZ experts that are at the forefront of design thinking, data science, data integration, IoT, cloud, and artificial intelligence. You'll understand the fundamentals of these topics while acquiring real-world examples from their years of experience. Our Immerse platform will be your portal to our online courses.

Online video lectures and discussions

The online content comes to you as you participate from your work or remote office

Demonstrations and Interactive Assignments

Get hands-on with real technical environments and complete assignments geared to enhance your learning

Live Q&A with instructors

Gain access to the years of experience your instructor has by asking them questions

Course completion certificates and tracking

Comply with your CPE and/or organizational requirements by earning completion certificates

Available Courses


About this course

This introductory course will cover best practices, guides, tools, and techniques that will help you successfully run an effective remote workshop.

What you'll learn

• Best practices when planning and facilitating a remote workshop
• Guidelines to follow to ensure an effective remote workshop
• Tools and techniques to help facilitate a remote workshop

Syllabus

The topics are covered by 4 sessions of about 30 minutes each plus Q&A.

• Session 1: Introduction
• Session 2: Teams
• Session 3: Tools
• Session 4: Techniques

Course format

Video tutorials + written instructions

Course length

120 minutes

Target audience

Business leaders, Department Directors/Managers, Product Owners, Business Analysts

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About this course

Data integration and ETL tools are an essential part of your information infrastructure and a pillar of your enterprise-wide efforts to synthesize and organize your data. Data and analytics initiatives often stumble when they don’t prioritize the creation of an integrated architecture—making the skills to support that priority critical to success. Our data integration course covers a variety of integration techniques, processes and tools.

What you'll learn

• What is data integration
• Data integration patterns/techniques (ETL, ELT, Migration, Replication, Streaming)
• Data integration leading products
• Data integration support functions (data profiling, data quality, metadata, conversion)
• Data preparation in support of advanced analytics

Course format

Live Instructor-led

Course length

3 Days

Target audience

Data Engineers, BI Developers, Data Scientists, Business Analysts

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About this course

This instructor-led course is for those who want to build REST APIs using MuleSoft and want to get hands-on experience using the web-based Anypoint Flow Designer and Anypoint Studio to build integrations that connect systems quickly and easily.

What you'll learn

At the end of this course, students should be able to use the MuleSoft Anypoint Platform to:

• Design APIs using RAML
• Mock APIs and create API portal
• Build, debug, and deploy Mule applications
• Retrieve data from a database
• Transform data using the DataWeave visual mapper
• Debug Mule Applications
• Synchronize and transfer data to other systems

Course format

Live Instructor-led

Course length

2 Days

Target audience

Integration/Back-end Engineers

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About this course

In a low or no resource environment, decision-makers, and line managers can get easily get overloaded. This course looks to help alleviate some of the burden on organizations without traditional analytics support. Even with only a modicum of data, this course looks to bring awareness and expediency to data-driven decision making.

What you'll learn

• How data can help
• Creating a data capability and refining a “model”
• Going from Data to Decisions

Syllabus

• Session 1: Why data?
• Session 2: Measuring and Managing
• Session 3: Iterate and Scale

Course format

Live Instructor-led

Course length

1.5 days

Target audience

Operations Managers and Decision Makers making day-to-day decisions

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About this course

This predictive modeling course looks at providing learners the opportunity to analyze not only past trends but derive future guidance as well. Although similar to forecasting, more modern predictive modeling often relies on machine learning techniques accessible to non-quants and applies to larger problem domains.

What you'll learn

• What is Predictive modeling
• How to develop AI Predictive Modeling (R/python Workshop)
• How to interpret, use, and communicate predictive models

Syllabus

• Session 1: Understanding Uncertainty
• Session 2: Applying AI & Machine Learning Algorithms
• Session 3: Presenting Predictions

Course format

Live Instructor-led

Course length

1.5 days

Target audience

Data Analysts, Data Scientists, Data Engineers, and Decision Makers.

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About this course

This course allows you to unleash the power of Big Data and Hadoop for competitive advantage. You will learn to select and apply the correct Big Data stores for disparate data sets, leverage Hadoop to process large data sets, and integrate components of the Hadoop EcoSystem to form a coherent business solution.

What you'll learn

• Big Data and Hadoop concepts
• Ecosystem tools (HDFS, YARN, MapReduce, Hive, Pig, Spark)
• NoSQL database concepts
• Big Data modeling
• Stream processing
• Using Hadoop and Spark

Syllabus

• Session 1: Course Introduction
• Session 2: Introduction to Big Data and Hadoop
• Session 3: Hadoop Architecture, Distributed Storage (HDFS) and YARN
• Session 4: Data Ingestion into Big Data Systems and ETL
• Session 5: Distributed Processing
• Session 6: Apache Hive
• Session 7: NoSQL Databases – Hbase
• Session 8: Basics of Functional Programming and Scala
• Session 9: Apache Spark – Core Processing RDD and Processing Data Frames
• Session 10: Spark MLLib – Modelling Big Data with Spark
• Session 11: Stream Processing Frameworks and Spark Streaming
• Session 12: Spark GraphX

Course format

Live Instructor-led + On-demand, Self-paced

Course length

2 days

Target audience

Data Engineers, Analytics Professionals, BI Developers, Data Scientists

Course pre-requisite

Understanding of Core Java and SQL

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About this course

This course introduces you to the fundamentals of cloud computing. You will learn the different core cloud services provided by the AWS platform. Then, understand the difference between IaaS, PaaS, and SaaS is and how to apply each of them to the right use-case scenario. Finally, we will look into how to approach security in the cloud.

What you'll learn

• Introduction to the concept of cloud computing.
• Understanding the on-premise model vs. Cloud model.
• Understanding the total cost of ownership.
• Overview of AWS cloud services
• The AWS Well-Architecture Framework
• Security in the Cloud

Syllabus

• Session 1: Introduction to Cloud Services
  ◦ What is cloud computing?
  ◦ History of cloud computing, its motivation, and evolution.
  ◦ Advantages and disadvantages of the cloud model
  ◦ Advantages and disadvantages of the on-premise model
  ◦ How can cloud computing help business agility?
• Session 2: Cloud Economics
  ◦ Review the cloud cost-savings framework
  ◦ Ways to improve your IT operation
  ◦ Lowering cost with AWS
  ◦ Four Key Areas of financial management in a cloud model
• Session 3: Overview of AWS
  ◦ The AWS value proposition
  ◦ Outline AWS products and services
  ◦ Explain the purpose of AWS core services
  ◦ Outline of the AWS Well-Architected-Framework
• Session 4: Security in the Cloud
  ◦ Security of the Cloud
  ◦ Identity and Access Management
  ◦ Compliance and Governance
  ◦ Data Protection
  ◦ Incident Response and Monitoring

Course format

Live Instructor-led + product demo

Course length

1 Day

Target audience

Product owners, Business Analysts, Cloud Practitioners, Sales and Marketing

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OZ is a leading global consulting company whose services and solutions enhance Customer Experience through digital innovation.