This training course helps to measures your ability to accomplish coding tasks related to the basics of programming in the Python language and the fundamental notions and techniques used in object-oriented programming.
This training course helps to measures your ability to accomplish coding tasks related to the basics of programming in the Python language and the fundamental notions and techniques used in object-oriented programming.
This one-day course is composed of two parts – Getting started with Copilot for Microsoft 365 and Empower your workforce with Copilot for Microsoft 365 Use Cases. The first part of the course introduces you to Copilot for Microsoft 365, examines how you can use Copilot throughout the various Microsoft 365 apps, explores best practices for using Copilot and building effective prompts, and examines how you can extend Copilot with plugins and Graph connectors.
The second part of this training content is really the heart of this course. Students perform a series of hands-on exercises involving seven Use Cases – Executives, Sales, Marketing, Finance, IT, HR, and Operations. These exercises focus on using Copilot in various Microsoft 365 apps (such as Word, PowerPoint, Outlook, and so on) to complete a series of common business-related tasks pertaining to each Use Case. To complete the Use Case exercises in this course, each student must have access to a Microsoft 365 subscription (BYOS) in which they’re licensed to use Copilot for Microsoft 365. Each student must also have a Microsoft OneDrive account, since Copilot requires OneDrive to complete the file sharing tasks used throughout the Use Case exercises.
In this two-day executive program, the executives will learn the basics of Generative AI and its applications, as well as how to design, execute, and manage Generative AI projects with
responsibility and ethics. Executives will also get hands-on experience with some of the popular Generative AI tools and platforms, such as ChatGPT and DALL·E. By the end of this course, the
executives will have a solid understanding of Generative AI and its implications for their organizations and be able to leverage it for business transformation and strategy
CFT (Certified Financial Technologist) is built by fintech professionals for fintech professionals, Focus on in-depth fintech knowledge, containing advanced understanding of the technology infrastructure, strategies and applications. This will lead to an increasing industry recognition for members across the region as well as giving them the advantage in a competitive market.
ISC2 developed the Certified in Cybersecurity (CC) credential for newcomers to the field, to recognize the growing trend of people entering the cybersecurity workforce without direct IT experience. Getting Certified in Cybersecurity provides employers with the confidence that you have a solid grasp of the right technical concepts, and a demonstrated aptitude to learn on the job. As an ISC2 certification, those who hold the CC are backed by the world’s largest network of certified cybersecurity professionals helping them continue their professional development and earn new achievements and qualifications throughout their career.
This three-day course is intended for migration engineers who have mastered Huawei cloud migration policies and processes, have knowledge about computing, storage, network, database, container, and middleware usage and migration, and are able to implement cloud migration planning services.
Ethical Hacking, also known as “White hats” is a skill to identify vulnerabilities in organization’s network and infrastructure. It involves an authorized attempt to gain unauthorized access to organization’s computer system, application or database. Different from cybersecurity defensive nature, ethical hacker with proactive and offensive nature can provide resolved solution to prevent incidents or attacks by malicious attacker. Certified Ethical Hacker (C l EH) is a global recognized credential issued by EC-council positioned to validate knowledge of investigating the vulnerabilities and weaknesses of a system in a lawful manner and providing a solution to restore it.
In this course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fully managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda. The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.
In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.
In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.
In this 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. The course lectures and labs further your learning with the exploration of several common data lake.
This qualification is intended for individual who aspires to become a Citizen Data Scientist in the organization using open-source technology to perform moderate to sophisticated diagnostics analytics and simple predictive analytics. The Data Analytics Essentials qualification is also highly relevant to other key staff involved in the requirements input, design, development, delivery and ultimate use of the digital initiatives including Data consumer, digital initiatives decision maker, business analyst, and operational line managers/staff.