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  • 5 Days ILT, VILT

    The gateway to acquire in-demand technical skills in cybersecurity.

    EC-Council Certified Security Specialist (ECSS) is an entry level cybersecurity certification covering the fundamental concepts of information security, computer forensics, and network security. It enables students to identify information security threats which reflect on the security posture of the organization and implement general security controls.

    This program will give a holistic overview of the key components of information security, computer forensics, and network security. This program provides a solid fundamental knowledge required for a career in information security

    Explore more about cybersecurity certifications with our cybersecurity training and certifications guide.

    Cybersecurity is not optional. It’s Operational. Don’t wait for a breach. Build the skills. Earn the badge. Lead the defense. Explore our Top Cybersecurity Skills for Malaysia’s Digital Future campaign.

    Be the reason your organization survives the next cyberattack.

  • 5 Days ILT, VILT

    The ECSA is a security credential like no other! The ECSA course provides you with a real world hands-on penetration testing experience and is a globally accepted hacking and penetration testing class available that covers the testing of modern infrastructures, operating systems and application environments while teaching the students how to document and write a penetration testing report.

    The ECSA program takes the tools and techniques you learned in the Certified Ethical Hacker course (CEH) and elevates your ability into full exploitation by teaching you how to apply the skills learned in CEH by utilizing EC-Council’s published penetration testing methodologies.

    It is a highly interactive, comprehensive, standards-based and methodology intensive 5-day security training program 5-day which teaches information security professionals to conduct real life penetration tests.

    This course is part of the Information Security Track of EC-Council. This is a “Professional” level course, with the Certified Ethical Hacker being the “Core” and the Licensed Penetration Tester being the “Master” level certification.

    Explore more about cybersecurity certifications with our cybersecurity training and certifications guide.

  • 3 Days ILT, VILT

    Master the critical first line of cyber defense.

    EC-Council’s Certified Incident Handler program equips students with the knowledge, skills, and abilities to effectively prepare for, deal with, and eradicate threats and threat actors in an incident.

    This program provides the entire process of incident handling and response and hands-on labs that teach the tactical procedures and techniques required to effectively plan, record, triage, notify and contain. Students will learn the handling of various types of incidents, risk assessment methodologies, as well as laws and policies related to incident handling. After attending the course, students will be able to create IH&R policies and deal with different types of security incidents such as malware, email security, network security, web application security, cloud security, and insider threat-related incidents.

    The E|CIH (EC-Council Certified Incident Handler) also covers post incident activities such as containment, eradication, evidence gathering and forensic analysis, leading to prosecution or countermeasures to ensure the incident is not repeated.

    The E|CIH is a method-driven course that provides a holistic approach covering vast concepts related to organizational IH&R, from preparing/planning the incident handling response process to recovering organizational assets from the impact of security incidents. These concepts are essential for handling and responding to security incidents to protect organizations from future threats or attacks.

    With over 95 advanced labs, 800 tools covered, and exposure to incident handling activities on many different operating systems, E|CIH provides a well-rounded, but tactical approach to planning for and dealing with cyber incidents.

    The E|CIH program addresses all stages involved in the IH&R process, and this attention toward a realistic and futuristic approach makes E|CIH one of the most comprehensive IH&R-related certifications in the market today`

  • 3 Days ILT, VILT

    Covering a broad spectrum of topics, the E|CES course delves into modern symmetric key cryptography, offering detailed insights into algorithms like Feistel Functions, DES, and AES. Additionally, students gain familiarity with various other algorithms, including Blowfish, Twofish, Skipjack, CAST, TEA, and more.

    The curriculum extends to information theory basics as applied to cryptography, covering essential concepts such as hashing algorithms (MD5, MD6, SHA, GOST, RIPMD 256) and asymmetric cryptography with in-depth discussions on RSA, Elgamal, Elliptic Curve, and Digital Signature Algorithm (DSA).

    Throughout the program, students delve into crucial cryptographic principles like diffusion, confusion, and Kerckhoff’s principle. Practical application is emphasized, enabling students to work with cryptographic algorithms from classical ciphers like the Caesar cipher to contemporary methods such as AES and RSA. Beyond theory, the course equips students with hands-on experience setting up a VPN, encrypting a drive, and exploring steganography. Furthermore, E|CES provides practical cryptanalysis and quantum computing knowledge, ensuring a comprehensive understanding of traditional and cutting-edge cryptographic concepts.

  • 4 Days ILT, VILT

    Explore the breadth and depth of Prism Central’s centralized management capabilities.

    If you already have experience with administering a Nutanix environment, this Nutanix Enterprise Cloud Administration course will extend, deepen, and broaden your knowledge as you grow in your career as a Nutanix administrator.

    Designed with Prism Central as the focal point, this Nutanix course illustrates the breadth and depth of Nutanix’s centralized management capabilities, and allows you to explore the wide variety of features that are available in this one, single web console.

    ECA is divided into four major sections:

    1. Understanding core Nutanix concepts, such as hyperconverged infrastructure (HCI) and the various Nutanix cloud solution packages. Also, the basic configuration of a cluster and the components that are needed to create and manage VMs – namely, networks and images.
    2. Creating and managing VMs, how to protect VMs and their data, how to apply storage optimization features at the VM level, and how to migrate your workloads to a Nutanix environment.
    3. Learn about alerts, events, log collection, reporting, and how to use various features in Prism Central to identify, analyze, and remediate performance issues.
    4. Learn how to set up a cluster for maintenance activities – such as starting and stopping nodes and clusters – and how to manage and upgrade licenses and installed software with just a few clicks.
  • 1 Day ILT, VILT

    The EXIN BCS Machine Learning Award gives you a clear, structured introduction to machine learning—covering key algorithms, data processing, model training, and real-world applications. You’ll learn how to prepare and transform data, understand supervised and unsupervised learning, and get hands-on insights into programming languages and ML frameworks such as Python, TensorFlow, and Scikit-Learn—even if you’re new to AI.

  • 1 Day ILT, VILT

    The EXIN BCS Generative AI Award equips you with the essential knowledge to harness generative AI effectively, ethically, and strategically. Whether you’re looking to enhance your career, future-proof your skills, or gain a competitive edge, this certification validates your expertise in one of today’s most transformative technologies.

  • 2 Days ILT, VILT

    Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence (AI):

    • Human-centric Ethical and Sustainable Human and Artificial Intelligence (AI);
    • Artificial Intelligence (AI) and Robotics;
    • applying the benefits of AI projects – challenges and risks;
    • Machine Learning (ML) Theory and Practice – Building a Machine Learning (ML) Toolbox;
    • the Management, Roles and Responsibilities of Humans and Machines – The Future of AI.

    Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. The EXIN BCS Artificial Intelligence Foundation certification tests a candidate’s knowledge and understanding of the terminology and general principles of AI. This preparation guide covers the potential benefits and challenges of ethical and sustainable robust Artificial Intelligence (AI); the basic process of Machine Learning (ML) – Building a Machine Learning (ML) Toolkit; the challenges and risks associated with an AI project, and the future of AI and Humans in work. This Foundation certificate includes and expands on the knowledge taught in the EXIN BCS Essentials Certificate in Artificial Intelligence.

  • 1 Day ILT, VILT

    Candidates should be able to demonstrate a basic knowledge and understanding of general concepts in the following areas:

    • Human and Artificial Intelligence
    • The Machine Learning process
    • The benefits, challenges and risks of a Machine Learning project
    • The future of humans and machines in Work

    Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. The EXIN BCS Artificial Intelligence Essentials exam tests a candidate’s knowledge and understanding of the terminology and the general principles. This syllabus covers the potential benefits; types of Artificial Intelligence; the basic process of Machine Learning (ML); the challenges and risks associated with an AI project, and the future of AI and Humans in work.

  • 2 Days ILT, VILT

    EXIN’s AI Compliance Professional (AICP) is the first certification that directly integrates the EU AI Act, ISO/IEC 42001, and NIST AI RMF into practical, lifecycle-based compliance — ideal for real-world business settings. Designed for professionals who need to implement, audit, and govern AI systems across their entire lifecycle — with ready-to-use templates, checklists, and governance controls. Master AI risk management, data privacy, and responsible AI implementation that customers will trust.

  • 2 Days ILT, VILT

    The EASPO: EXIN Agile Scrum Product Owner certification focuses on bringing value to the customer and value for the business, through Agile project management techniques. This certification is especially suitable for professionals working in the areas of project management, software development, IT service management and business management.

    EXIN Agile Scrum Product Owner tests a candidate’s skills and knowledge of Agile principles and Scrum practices specifically with the role of Product Owner in mind. This certification focuses on adopting Agile or Scrum in the workplace and taking on the role of Product Owner.

  • 2 Days ILT, VILT

    Agile Scrum is about working together to successfully reach a goal. Agile methodologies are popular approaches in software development and are increasingly being used in other areas. Scrum practices include establishing cross-functional and self-managed teams, producing a working deliverable at the end of each iteration or Sprint. This EXIN Agile Scrum certification focuses on adopting Agile or Scrum in the workplace and taking on the role of Scrum Master.

    This 2-days EXIN Agile Scrum Master certification with the assignment workshop course is designed to illustrate this best practice project management approach and give candidates an understanding of Agile as it should be managed within projects. Within project environments there will always be times where there is uncertainty and high volumes of change, and these should managed effectively.

    EXIN Agile Scrum Master is a certification that looks to confirm both skills and knowledge of the Agile framework and Scrum methodology.

     

  • 2 Days ILT, VILT

    The EASF: EXIN Agile Scrum Foundation certification is designed to test a professional’s fundamental understanding of agile principles and scrum methodology. It is especially useful for those leading or participating in projects. This EXIN Agile Scrum certification is especially interesting for professionals who work in areas including project management, software development, IT service management and business management.

    EXIN Agile Scrum Foundation offers professionals a unique certification that combines agile principles and scrum practices. The exam tests candidates on their understanding of key concepts and their application.

  • 3 Days ILT, VILT

    EXIN Privacy & Data Protection Professional is a certification that validates a professional’s knowledge and understanding of the European privacy and data protection legislation and its international relevance, as well as the professional’s ability to apply this knowledge and understanding to everyday professional practice.

    With the ever increasing explosion of information flooding the internet, every company needs to plan how to manage and protect privacy of persons and their data. Not without a reason, many new laws within the EU, as well as in the USA and many other regions, are formed in order to regulate both privacy and data protection.

    The European Commission has published the EU General Data Protection Regulation (GDPR), meaning that from the 25th of May 2018 on, all organizations concerned must comply with specific rules. This Practitioner certification builds on the subjects covered by the Foundation exam by focusing on the development and implementation of policies and procedures in order to comply with existing and new legislation, application of privacy and data protection guidelines and best practices, and by establishing a data protection management system (DPMS).

    The new standard in the ISO/IEC 27000 series: ISO/IEC 27701:2019 Security Techniques – Extension to ISO/IEC 27001 and ISO/IEC 27002 for Privacy Information Management – Requirements and Guidelines is useful for organizations that want to show compliance with the GDPR. The content of the new ISO standard helps fulfill the GDPR obligations to organizations regarding the processing of personal data.

    Neither the GDPR nor the ISO standard are exam literature. However, the literature matrix in Chapter 4 is designed to show the link between the exam requirements, the literature, the GDPR and the ISO/IEC 27701:2019 standard to give the certification a broader context

  • 2 Days ILT, VILT

    EXIN Privacy & Data Protection Foundation (PDPF) is a certification that validates a professional’s knowledge and understanding of the protection of personal data, the EU rules and regulations regarding data protection.

    Wherever personal data is collected, stored, used, and finally deleted or destroyed, privacy concerns arise. With the EU General Data Protection Regulation (GDPR) the Council of the European Union aims to strengthen and unify data protection for all individuals within the European Union (EU). This regulation affects every organization that processes personal data of EU citizens. The EXIN Privacy & Data Protection Foundation certification covers the main subjects related to the GDPR.

    The new standard in the ISO/IEC 27000 series: ISO/IEC 27701:2019 Security Techniques – Extension to ISO/IEC 27001 and ISO/IEC 27002 for Privacy Information Management – Requirements and Guidelines is useful for organizations that want to show compliance with the GDPR. The content of the new ISO standard helps fulfill the GDPR obligations to organizations regarding the processing of personal data.

    Neither the GDPR nor the ISO standard are exam literature. However, the literature matrix in Chapter 4 is designed to show the link between the exam requirements, the literature, the GDPR and the ISO/IEC 27701:2019 standard to give the certification a broader context.

  • 0.5 Days SPVC

    This DTPE-AWS-WA: AWS Well-Architected digital course teaches our customers about the AWS Well-Architected Framework to understand how they can make informed decisions about their architecture in a cloud-native way and understand the impact of design decisions.

    By using the Well-Architected Framework, customers can understand the risks in their architecture, and learn ways to mitigate them.

    Activities: This course includes digital training, videos, and assessments.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    Whether you are thinking of migrating to the AWS Cloud or already have a workload running on AWS, securing your data and resources should be at the top of the list. This course introduces several AWS services that you can use to improve your current security posture.

    The course covers the different security design principles that will help you to plan your security approach in the AWS Cloud and provides information on resources you can use to further your knowledge around security on AWS.

    • Course level: Fundamental
    • Delivery method: Presentation
    • Duration: 50 minutes

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    Revolutionize your organization with machine learning on Amazon Web Services (AWS).

    This DTPE-AWS-MLC: Machine Learning in the Cloud with AWS Batch course describes how to run and accelerate your machine learning applications in the cloud using AWS Batch. AWS Batch is a fully managed service that enables you to easily and efficiently run batch computing jobs on AWS.

    This course provides an introduction to AWS Batch, explains the main components of the service, and reviews a few examples of batch processing architectures.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 1 Day SPVC

    AWS Lambda is an event-driven, serverless compute service that lets you run code without provisioning or managing servers. This course focuses on what you need to start building Lambda functions and serverless applications.

    You learn how AWS Lambda works and how to write and configure Lambda functions. You explore deployment and testing considerations and finally end with a discussion on monitoring and troubleshooting Lambda functions.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    In this self-paced course, you’ll learn about the typical job roles applicable to an enterprise-level AWS Cloud environment. It covers how on-premises roles compare to cloud roles. It also covers infrastructure as code (IaC) and emphasizes how job roles can evolve, depending on the level of adherence to a DevOps model, by using infrastructure as code.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    AWS Hadoop Fundamentals introduces you to the basics of big data and how Hadoop as a framework handles it. This course discusses Hadoop architectures and how large sets of data are stored and processed.

    The course explains several tools used in the process: MapReduce, Hive, and Pig. The course also examines Hadoop as part of the AWS big data ecosystem.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    In this course, you will learn the basics of deploying, managing, and securing .NET applications with Amazon Web Services (AWS). You will learn about AWS services and tools specifically designed for .NET applications. Finally, the course will walk you through a hands-on example of deploying a .NET application to the AWS Cloud.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    This is an introductory course designed for participants with little-to-no previous knowledge of containers. It will teach you the history and concepts behind containerization, provide an introduction to specific technologies used within the container ecosystem and discuss the importance of containers in microservice architectures.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 1 Day SPVC

    Learn the fundamentals of the AWS Cloud.

    This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud, independent of specific technical roles. You will learn about AWS Cloud concepts, AWS services, security, architecture, pricing, and support to build your AWS Cloud knowledge. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.

    • Course Level: Fundamental
    • Duration: 6 Hours
  • 0.5 Days SPVC

    Learn about the foundations of getting started in the AWS Cloud.

    In this DTPE-AWS-CE: Getting Started with the AWS Cloud Essentials digital course, you learn about the AWS Cloud architecture and the services in the Compute, Storage, Database, Networking, and Security categories. This course can help you can build and validate an overall understanding of the AWS Cloud, key terminology, and help advance your AWS Cloud skills.

    Course level: Fundamental

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    In this DTPE-AWS-CA: Getting Started with Cloud Acquisition course, you will learn how to buy AWS Cloud effectively, from the very start of the procurement effort. The course includes an in-depth review of cloud acquisition best practices, the benefits of working with the AWS Partner Network (APN), and how to overcome common challenges.

    The AWS digital training course aims to upskill you with the key acquisition knowledge you need to speak to all stakeholders in your organization and help maximize the benefits of cloud adoption.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    The DTPE-AWS-BCM: Introduction to AWS Billing and Cost Management course provides a basic overview of AWS Billing and Cost Management services and dashboards. Different AWS cost tools, such as Cost Explorer and AWS Budgets, are covered in this introduction. A step-by-step review of how to set up budget alerts is also presented.

    • Course level: Fundamental
    • Duration: 20 minutes

    Activities: This course is a video presentation.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days SPVC

    This course is designed to help solution architects and developers who are looking to modernize their existing message-oriented middleware (MOM) or message broker architectures. You will learn the differences between traditional legacy architectures and modern messaging architectures.

    You will review several paths that customers may follow to modernize their messaging environments, including the benefits and costs of each approach. You will also be introduced to Amazon MQ and participate in several hands-on labs to better understand it. This fully managed message broker service uses industry-standard APIs and protocols (including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket).

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • 0.5 Days VILT

    This course goes beyond the basic concepts and benefits of containerization and teaches you more about the Amazon Elastic Container Service (ECS). You will learn about the implementation of containers on AWS using ECS and complementary services, such as the Amazon Elastic Container Registry (ECR). You will also learn about common microservices scenarios.

    Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

  • DTB-MLS: Advanced Machine Learning Operations

    Price range: RM3,375.00 through RM4,275.00
    1 Day ILT, VILT

    In this course, you will be provided with a comprehensive understanding of the machine learning lifecycle and MLOps, emphasizing best practices for data and model management, testing, and scalable architectures. It covers key MLOps components, including CI/CD, pipeline management, and environment separation, while showcasing Databricks’ tools for automation and infrastructure management, such as Databricks Asset Bundles (DABs), Workflows, and Mosaic AI Model Serving. You will learn about monitoring, custom metrics, drift detection, model rollout strategies, A/B testing, and the principles of reliable MLOps systems, providing a holistic view of implementing and managing ML projects in Databricks.

  • DTB-MLD: Machine Learning with Databricks

    Price range: RM6,750.00 through RM7,650.00
    2 Days ILT, VILT

    Welcome to Machine Learning with Databricks!
    This course is your gateway to mastering machine learning workflows on Databricks. Dive into data preparation, model development, deployment, and operations, guided by expert instructors. Learn essential skills for data exploration, model training, and deployment strategies tailored for Databricks. By course end, you’ll have the knowledge and confidence to navigate the entire machine learning lifecycle on the Databricks platform, empowering you to build and deploy robust machine learning solutions efficiently.

  • 2 Days ILT, VILT

    This course is aimed at data scientists, machine learning engineers, and other data practitioners who want to build generative AI applications using the latest and most popular frameworks and Databricks capabilities.

    Below, we describe each of the four, four-hour modules included in this course.

    Generative AI Solution Development: This is your introduction to contextual generative AI solutions using the retrieval-augmented generation (RAG) method. First, you’ll be introduced to RAG architecture and the significance of contextual information using Mosaic AI Playground. Next, we’ll show you how to prepare data for generative AI solutions and connect this process with building a RAG architecture. Finally, you’ll explore concepts related to context embedding, vectors, vector databases, and the utilization of Mosaic AI Vector Search.

    Generative AI Application Development: Ready for information and practical experience in building advanced LLM applications using multi-stage reasoning LLM chains and agents? In this module, you’ll first learn how to decompose a problem into its components and select the most suitable model for each step to enhance business use cases. Following this, we’ll show you how to construct a multi-stage reasoning chain utilizing LangChain and HuggingFace transformers. Finally, you’ll be introduced to agents and will design an autonomous agent using generative models on Databricks.

    Generative AI Application Evaluation and Governance: This is your introduction to evaluating and governing generative AI systems. First, you’ll explore the meaning behind and motivation for building evaluation and governance/security systems. Next, we’ll connect evaluation and governance systems to the Databricks Data Intelligence Platform. Third, we’ll teach you about a variety of evaluation techniques for specific components and types of applications. Finally, the course will conclude with an analysis of evaluating entire AI systems with respect to performance and cost.

    Generative AI Application Deployment and Monitoring: Ready to learn how to deploy, operationalize, and monitor generative deploying, operationalizing, and monitoring generative AI applications? This module will help you gain skills in the deployment of generative AI applications using tools like Model Serving. We’ll also cover how to operationalize generative AI applications following best practices and recommended architectures. Finally, we’ll discuss the idea of monitoring generative AI applications and their components using Lakehouse Monitoring.

  • DTB-DED: Data Engineering with Databricks

    Price range: RM6,750.00 through RM7,650.00
    2 Days ILT, VILT

    This is an introductory course that serves as an appropriate entry point to learn Data Engineering with Databricks.

    Below, we describe each of the four, four-hour modules included in this course.

    1. Data Ingestion with Lakeflow Connect

    This course provides a comprehensive introduction to Lakeflow Connect as a scalable and simplified solution for ingesting data into Databricks from a variety of data sources. You will begin by exploring the different types of connectors within Lakeflow Connect (Standard and Managed), learn about various ingestion techniques, including batch, incremental batch, and streaming, and then review the key benefits of Delta tables and the Medallion architecture.

    From there, you will gain practical skills to efficiently ingest data from cloud object storage using Lakeflow Connect Standard Connectors with methods such as CREATE TABLE AS (CTAS), COPY INTO, and Auto Loader, along with the benefits and considerations of each approach. You will then learn how to append metadata columns to your bronze level tables during ingestion into the Databricks data intelligence platform. This is followed by working with the rescued data column, which handles records that don’t match the schema of your bronze table, including strategies for managing this rescued data.

    The course also introduces techniques for ingesting and flattening semi-structured JSON data, as well as enterprise-grade data ingestion using Lakeflow Connect Managed Connectors.

    Finally, learners will explore alternative ingestion strategies, including MERGE INTO operations and leveraging the Databricks Marketplace, equipping you with foundational knowledge to support modern data engineering ingestion.

    2. Deploy Workloads with Lakeflow Jobs

    Deploy Workloads with Lakeflow Jobs course teaches how to orchestrate and automate data, analytics, and AI workflows using Lakeflow Jobs. You will learn to make robust, production-ready pipelines with flexible scheduling, advanced orchestration, and best practices for reliability and efficiency-all natively integrated within the Databricks Data intelligence Platform. Prior experience with Databricks, Python and SQL is recommended.

    3. Build Data Pipelines with Lakeflow Spark Declarative Pipelines 

    This course introduces users to the essential concepts and skills needed to build data pipelines using Lakeflow Spark Declarative Pipelines (SDP) in Databricks for incremental batch or streaming ingestion and processing through multiple streaming tables and materialized views. Designed for data engineers new to Spark Declarative Pipelines, the course provides a comprehensive overview of core components such as incremental data processing, streaming tables, materialized views, and temporary views, highlighting their specific purposes and differences.

    Topics covered include:

    – Developing and debugging ETL pipelines with the multi-file editor in Spark Declarative Pipelines using SQL (with Python code examples provided)

    – How Spark Declarative Pipelines track data dependencies in a pipeline through the pipeline graph

    – Configuring pipeline compute resources, data assets, trigger modes, and other advanced options

    Next, the course introduces data quality expectations in Spark Declarative Pipelines, guiding users through the process of integrating expectations into pipelines to validate and enforce data integrity. Learners will then explore how to put a pipeline into production, including scheduling options, and enabling pipeline event logging to monitor pipeline performance and health.

    Finally, the course covers how to implement Change Data Capture (CDC) using the AUTO CDC INTO syntax within Spark Declarative Pipelines to manage slowly changing dimensions (SCD Type 1 and Type 2), preparing users to integrate CDC into their own pipelines.

    4. Data Management and Governance with Unity Catalog

    In this course, you’ll learn about data management and governance using Databricks Unity Catalog. It covers foundational concepts of data governance, complexities in managing data lakes, Unity Catalog’s architecture, security, administration, and advanced topics like fine-grained access control, data segregation, and privilege management.

    * This course seeks to prepare students to complete the Associate Data Engineering certification exam, and provides the requisite knowledge to take the course Advanced Data Engineering with Databricks.

  • DTB-DAD: Data Analysis with Databricks

    Price range: RM4,500.00 through RM5,400.00
    1 Day ILT, VILT

    This course provides a comprehensive introduction to Databricks SQL. Learners will ingest data, write queries, produce visualizations and dashboards, and configure alerts. This course will prepare you to take the Databricks Certified Data Analyst Associate exam.

    This course consists of two four-hour modules.

    SQL Analytics on Databricks

    In this course, you’ll learn how to effectively use Databricks for data analytics, with a specific focus on Databricks SQL. As a Databricks Data Analyst, your responsibilities will include finding relevant data, analyzing it for potential applications, and transforming it into formats that provide valuable business insights.

    You will also understand your role in managing data objects and how to manipulate them within the Databricks Data Intelligence Platform, using tools such as Notebooks, the SQL Editor, and Databricks SQL.

    Additionally, you will learn about the importance of Unity Catalog in managing data assets and the overall platform. Finally, the course will provide an overview of how Databricks facilitates performance optimization and teach you how to access Query Insights to understand the processes occurring behind the scenes when executing SQL analytics on Databricks.

    AI/BI for Data Analysts

    In this course, you’ll learn how to use the features Databricks provides for business intelligence needs: AI/BI Dashboards and AI/BI Genie. As a Databricks Data Analyst, you will be tasked with creating AI/BI Dashboards and AI/BI Genie Spaces within the platform, managing the access to these assets by stakeholders and necessary parties, and maintaining these assets as they are edited, refreshed, or decommissioned over the course of their lifespan. This course intends to instruct participants on how to design dashboards for business insights, share those with collaborators and stakeholders, and maintain those assets within the platform. Participants will also learn how to utilize AI/BI Genie Spaces to support self-service analytics through the creation and maintenance of these environments powered by the Databricks Data Intelligence Engine.

  • DTB-ASPD: Apache Spark Programming with Databricks

    Price range: RM6,750.00 through RM7,650.00
    2 Days ILT, VILT

    This course serves as an appropriate entry point to learn Apache Spark Programming with Databricks.

    Below, we describe each of the four, four-hour modules included in this course.

    Introduction to Apache Spark

    This course offers essential knowledge of Apache Spark, with a focus on its distributed architecture and practical applications for large-scale data processing. Participants will explore programming frameworks, learn the Spark DataFrame API, and develop skills for reading, writing, and transforming data using Python-based Spark workflows.

    Developing Applications with Apache Spark

    Master scalable data processing with Apache Spark in this hands-on course. Learn to build efficient ETL pipelines, perform advanced analytics, and optimize distributed data transformations using Spark’s DataFrame API. Explore grouping, aggregation, joins, set operations, and window functions. Work with complex data types like arrays, maps, and structs while applying best practices for performance optimization.

    Stream Processing and Analysis with Apache Spark

    Learn the essentials of stream processing and analysis with Apache Spark in this course. Gain a solid understanding of stream processing fundamentals and develop applications using the Spark Structured Streaming API. Explore advanced techniques such as stream aggregation and window analysis to process real-time data efficiently. This course equips you with the skills to create scalable and fault-tolerant streaming applications for dynamic data environments.

    Monitoring and Optimizing Apache Spark Workloads on Databricks

    This course explores the Lakehouse architecture and Medallion design for scalable data workflows, focusing on Unity Catalog for secure data governance, access control, and lineage tracking. The curriculum includes building reliable, ACID-compliant pipelines with Delta Lake. You’ll examine Spark optimization techniques, such as partitioning, caching, and query tuning, and learn performance monitoring, troubleshooting, and best practices for efficient data engineering and analytics to address real-world challenges.

  • DTB-AMLO: Machine Learning at Scale

    Price range: RM3,375.00 through RM4,275.00
    1 Day ILT, VILT

    In this course, you will gain theoretical and practical knowledge of Apache Spark’s architecture and its application to machine learning workloads within Databricks. You will learn when to use Spark for data preparation, model training, and deployment, while also gaining hands-on experience with Spark ML and pandas APIs on Spark.

    This course will introduce you to advanced concepts like hyperparameter tuning and scaling Optuna with Spark. This course will use features and concepts introduced in the associate course such as MLflow and Unity Catalog for comprehensive model packaging and governance.

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