Learn to implement a hybrid cloud solution with Microsoft Azure by using NetApp® Cloud Volumes ONTAP®. Connect an Azure Virtual Network (VNet) and an on-premises data center to unify your infrastructure. Use NetApp Cloud Manager to move data and manage storage in the hybrid cloud. Learn about how NetApp cloud services are integrated into Cloud Manager to provide persistent storage for Kubernetes containers and enhance data protection, security, and compliance. Learn to optimize capacity and performance of Cloud Volumes ONTAP.
-
This MR-9CP-CISV3: Cloud Infrastructure and Services Version 3 course provides an overview of digital transformation, role of Cloud to help organizations address the current IT challenges to meet their overall digital transformation objectives. This “cloud essentials” course will help to gain the knowledge on technologies, processes, and mechanisms required to build a cloud infrastructure.
This course takes an open approach, and uses the Cloud Reference Architecture to describe the concepts and technologies related to cloud computing, which is further illustrated and reinforced with DELL EMC product examples. The course follows the U.S. National Institute of Standards and Technology as a guide for all definitions of cloud computing.
-
This ES712OCMCIPD2: Cloud Infrastructure Planning and Design v2 course explores the business needs and challenges that have led the organization to adopt a cloud solution. This course highlights the benefits, challenges, and considerations of design choices and emphasizes the importance of proper requirements gathering in the design process. Additionally, students are provided with opportunities to practice these new skills while performing exercises and labs. This course prepares the student for the Dell EMC Proven Professional Cloud Architect certification exam.
-
This ES104OCM02095: Cloud Services Management course provides technical professionals the knowledge and skills necessary to plan and design for robust cloud services. The course focuses on the governance, organizational, financial, and technology aspects as well as the management and operation of cloud services. The key areas covered in this course are:
- Cloud Services Lifecycle and Management
- Workforce Transformation for Cloud Services
- Multi-Cloud Strategy for Cloud Services
- Cloud Services Operating Model
- Cloud-Native Application Development
- Business Resiliency for Cloud Services
-
This instructor-led workshop covers the content and hands-on lab exercises provided in the following courses: Data Warehousing with SQL and NoSQL, ETL Offload with Hadoop and Spark, Data Governance, Security and Privacy for Big Data, Processing Streaming and IoT Data, Building Data Pipelines with Python.
This training prepares the learner for a major portion of the Dell Technologies Proven Professional data engineering specialist-level certification exam (DES-7DE1). Review the exam description document to understand all the related data engineering training and consumption options.
-
This ES722OCMDSBDA: Data Science and Big Data Analytics v2 course provides practical foundation level training that enables immediate and effective participation in Big Data and other analytics projects. It includes an introduction to Big Data and the data analytics lifecycle to address business challenges that leverage Big Data.
The course provides grounding in basic and advanced analytic methods and an introduction to Big Data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist.
The course takes an “open”, or technology-neutral approach and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the data analytics lifecycle. The course prepares the student for the Dell EMC Proven™ Professional Data Scientist Associate (EMCDSA) certification exam.
-
This course gives business leaders the skills and knowledge to better manage such analytical efforts. It describes how to get started and what is required to effectively run projects which leverage Big Data analytics. Specifically, it addresses: deriving business value from Big Data, leading Data Science projects using a data analytics lifecycle, developing Data Science teams, and driving innovation using analytics.
-
This course builds on skills developed in the Data Science and Big Data Analytics course. The main focus areas cover Hadoop (including Pig, Hive, and HBase), Natural Language Processing, Social Network Analysis, Simulation, Random Forests, Multinomial Logistic Regression, and Data Visualization. Taking an “Open” or technology-neutral approach, this course utilizes several open-source tools to address big data challenges.
-
The ESOCMS02326: Artificial Intelligence and Machine Learning training course provides a detailed description about the technical and operational aspect of AI and ML and helps the learners to understand the concepts of AI, ML, neural network, reinforcement learning, NLP and artificial ecosystem. It also provides a detailed description about the need of AI ready infrastructure, AI and ML frameworks, implemented machine learning models, and use cases across the industry.
The offering is an engaging mix of key technologies, case examples, and business insights. The course includes recorded lab exercise demonstrations explaining the techniques of machine learning, neural network, reinforcement learning, and infrastructure in detail.
-
In this course, you will learn about FortiWeb deployment, configuration, and management. You will learn how to set up server objects, define security policies, and implement HA. This course covers protection against advanced threats using data validation, client-side security, and machine learning. You will also explore API security, bot mitigation, and application delivery features such as URL rewriting, single sign-on, caching, and acceleration. Additional topics include DoS prevention, logging, FortiAI integration, compliance standards (PCI DSS, OWASP), and basic troubleshooting.
-
The Performing CyberOps Using Cisco Security Technologies (CBRCOR) v1.0 course guides you through cybersecurity operations fundamentals, methods, and automation.
- The knowledge you gain in this course will prepare you for the role of Information Security Analyst on a Security Operations Center (SOC) team.
- You will learn foundational concepts and their application in real-world scenarios, and how to leverage playbooks in formulating an Incident Response (IR).
- The course teaches you how to use automation for security using cloud platforms and a SecDevOps methodology.
- You will learn the techniques for detecting cyberattacks, analyzing threats, and making appropriate recommendations to improve cybersecurity.
This course also earns you 40 Continuing Education (CE) credits towards recertification and prepares you for the 350-201 CBRCOR core exam.
-
If you’re like most people, you run into trouble when conversations turn from routine to crucial. Your body’s natural fight-or-flight response takes over. The knee-jerk response is to run and dodge the topic, hide behind an email, or just wing it and hope for the best.
Productivity stems from face-to-face communication, as well as your ability to express controversial and risky opinions effectively. Attend this course and practice using real-life models to conduct difficult conversations on any topic. You’ll gain the skills and summon the courage to step up, speak openly and honestly, and get results that count.
