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IBM SKILLS ACADEMY KAPLAN GEAR UP WITH EMERGING TECHNICAL SKILLS

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Page 1: IBM SKILLS ACADEMY KAPLAN · IBM Skills Academy @ Kaplan provides world-class training combining IBM’s official technical role-based courses, IBM- ... IBM Watson, hands-on learning,

IBM SKILLSACADEMY KAPLAN

GEAR UP WITH EMERGINGTECHNICAL SKILLS

Page 2: IBM SKILLS ACADEMY KAPLAN · IBM Skills Academy @ Kaplan provides world-class training combining IBM’s official technical role-based courses, IBM- ... IBM Watson, hands-on learning,

What is IBM Skills Academy?IBM Skills Academy is a collaboration of industry leaders working with educators and industry partners, to develop training relevant to sectors working with technology. Materials are updated regularly and adopted by academic institutions globally with upskilling add-ons that are industry-relevant. This further enhances graduates’ employability while preparing them for an all-rounded career. The IBM Skills Academy Programme is founded and prides itself on IBM’s long-standing tradition of collaborating with industry experts, researchers and leading academia including Stamford, MIT and Harvard Universities.

What is IBM Skills Academy @ Kaplan?Kaplan in Singapore has partnered with IBM to provide the Skills Academy suite of courses. These courses challenge students to learn differently, apply new skills and encourage accelerated learning. Students will use sophisticated digital resources coupled with deep understanding from Kaplan’s various academic disciplines.

The IBM Skills Academy initiative with Kaplan answers the workforce needs of today’s “Business with the Power of STEM” digital economy by transforming students into industry-focused professionals. This is done with face-to-face training in the application of the latest infocomm technologies and tools. The training is paired with sophisticated, interactive digital resources to provide an unparalleled blend of learning. It ensures industry-relevant training in areas of high demand such as the Information Technology industry. The application-focused courses also provide certifications that are recognised by the industry.

How are courses conducted?Each course is a mix of classroom learning at our campuses in the city and self-paced online learning.

Our instructorsIBM Skills Academy @ Kaplan provides world-class training combining IBM’s official technical role-based courses, IBM-certified instructors, Kaplan’s deep technical and financial know-how, as well as hands-on laboratories that reflect actual application in the workplace.

What can I receive upon completion?Upon completion of each course, students will receive a digital badge certifying their competence.

The IBM Digital Badge is a cross-industry digital recognition of technical skills, which can be shared on social and professional networking sites, even in your digital signature. Digital Badging is a recognition of skills and experience which you, as employee or employer, can share anytime at any place. IBM’s Digital Badges are hosted and secured by a third party, and they recognise skills, knowledge and experience gained through training with IBM.

Who should attend?The courses suit working adults and just about anyone keen to bridge their digital skills gap and stand out from the competition.

ABOUT IBM SKILLS ACADEMY @ KAPLAN

The urgent need for qualified and experienced IT talent is a global phenomenon and one that IBM and Kaplan have been keenly aware. It gives us great pleasure to be able to put into practice a core collaboration with IMDA (Infocomm Media Development Authority), in Singapore and IBM to upskill students with IBM Skills Academy @ Kaplan.

The unique advantage of world-class academic learning outcomes, priceless industry knowledge and experience from one of the largest technology companies of the world, combined with the deep training skills of Kaplan will reap deep rewards for the country and its future.

Abraham Thomas, Managing Director, IBM Singapore

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BIG DATA ENGINEERDATA IS BECOMING THE WORLD’S NEW NATURAL RESOURCEIn order to understand, diagnose and help patients better, 16,000 hospitals worldwide collect patient data. The average hospital is estimated to produce 665 terabytes of data in one year. This medical data integrates the healthcare databases around the world, optimised to predict epidemics, cure diseases and reduce death rates. The advent of data in the healthcare industry will revolutionise patient care, health services and research communication globally.

The Big Data Engineer course prepares learners to use Big Data platforms and methodologies to collect and analyse large amounts of data from different sources.

This will require skills in Big Data architecture, such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop and HBase.

Learning ModulesThis course comprises the following learning modules:

IBM Open Badges• Big Data Engineer: Explorer | Mastery Award

Associated Job RolesThe knowledge and abilities imparted in this course will help learners in job roles such as:• Business Intelligence Analyst• Artificial Intelligence Analyst

Module I - Big Data Overview• Data Overview, Industry Applications, Case Studies• Understanding Big Data

Module II - PrerequisitesThere are no prerequisites for this course

Module III - Big Data Engineer• HortonWorks Data Platform• Big Data Architecture• Storing and Processing Data with Hadoop• Creating Data Using HDFS• Data Distribution and Storage with MapReduce• Access Hbase/Hadoop Data with Hive• ZooKeeper, Slider, Knox• Loading Data with Sqoop• Big SQL• IBM Watson Studio

Duration• Classroom Learning: 24 hours• Self-Paced Online Learning: 26 hours• Total Hours: 50 hours

ARTIFICIAL INTELLIGENCE ANALYSTTRANSFORM YOUR LIFE IN EXTRAORDINARY WAYS WITH AIDid you know that AI can help in cancer detection, assist the visually impaired and even create music?

The AI analyst course prepares learners to apply this field of study in real-life. This will require skills in Cognitive Computing, Natural Language Processing (NLP), Conversation (Chatbots) and Computer Vision. Training topics will include AI, IBM Watson, hands-on learning, as well as case studies on NLP, Chatbots and Computer Vision.

Learning ModulesThis course comprises the following learning modules:

Module I - Artificial Intelligence Overview• AI Overview, Trends, Advancements• Machine Learning• Neural Networks• Intro to NLP and its Applications• Computer Vision and Cognitive ComputingModule II - Artificial Intelligence Foundations

IBM Open Badges• Artificial Intelligence Analyst: Explorer | Mastery Award

Associated Job Roles The knowledge and abilities imparted in this course will help learners in job roles such as:• Cloud Application Developer• Data Scientist

• IBM Watson and How It Works• Watson Technology Case Studies• Watson Services on Cloud and Their Capabilities

Module III - Artificial Intelligence Analyst• Natural Language Processing (NLP) Advanced• Relationship between AI and NLP• NLP’s Applications and Case Studies• Hands-on NLP Experience• Introduction to Chatbot and Its Components• How to Build a Chatbot (Intent, Entities, Dialogue)• Computer Vision Components and Pipeline• How to Classify Images with Watson Visual Recognition

Duration• Classroom Learning: 16 hours• Self-Paced Online Learning: 16 hours• Total Hours: 32 hours

COURSES

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BLOCKCHAIN DEVELOPER

BUSINESS INTELLIGENCE ANALYST

REWIRE SOLUTIONS WITH BLOCKCHAIN

PREDICT AND PREVENT URBAN ISSUES WITH ANALYTICS

Imagine if you could see all the places your food has travelled to and where all the ingredients came from just by taking a picture of the food label. With blockchain, there is greater visibility and efficiency in the entire supply chain across all industries.

The Blockchain Developer course introduces learners to blockchain concepts such as business networks, participants, assets, and trusted transactions, using Hyperledger Fabric, Hyperledger Composer and IBM Blockchain Platform. This will require skills in areas such as shared ledger, smart contracts, consensus and architecture of blockchain solutions.

Learning ModulesThis course comprises the following learning modules:

Module I - Blockchain Overview• Blockchain Overview, Business Requirements, Case Studies

Module II - Prerequisites• Introduction to HTML5 and JavaScript Programming• NodeJS, Server-side JavaScript, Callback Functions• Docker Essentials, Containers Orchestration• Getting Started with Kubernetes

Public transportation agencies are challenged to find ways to increase convenience, improve the travel experience and reduce costs. Business analytics uses real-time data to anticipate and control congestions, helping traffic systems flow smoothly.

The Business Intelligence Analyst course prepares learners to understand report building techniques using relational data models. They will learn how to enhance, customise and manage professional reports, and understand Active Reports and their functionality.

Learning ModulesThis course comprises the following learning modules:

Module I - Analytics Overview• Business Analytics Overview, Trends, Case Studies• Understanding Business Intelligence and Analytics

IBM Open Badges• Blockchain Developer: Explorer | Mastery Award

IBM Open Badges• Business Intelligence Analyst: Explorer | Mastery Award

Associated Job Roles The knowledge and abilities imparted in this course will help learners in job roles such as:• Predictive Analytics Modeler• Data Scientist• Data Engineer

Module III - Blockchain Developer• Blockchain Principles and Their Uses in the Enterprise• Blockchain Infrastructure and Applications• Identify Participants, Assets, Transactions in a Business Network• Hyperledger Fabric and Hyperledger Composer• Blockchain Solution Architecture• Peers, Smart Contracts, Channels, World-state• Consensus, Ordering Service, and Transaction Endorsement• Chaincode Structure, Lifecycle and Deployment Approaches• Blockchain Deployment with Docker and Kubernetes• Blockchain Security on Hyperledger Fabric and Composer• Blockchain Integration Including SDKs, APis, IOT, and Cloud

Duration• Classroom Learning: 16 hours• Self-Paced Online Learning: 16 hours• Total Hours: 32 hours

Module II - Business Analytics Foundations• Business Intelligence Overview• Reports and Metadata Models

Module Ill - Business Intelligence Analyst• Introduction of Reporting Application• List Reports and Crosstab Reports• Data Graphics (Charts, Numerals, Visualisation)• Parameters and Prompts• Advanced Dynamic Reports• Data-sorting using Effective Prompts• Report Distribution through Bursting• Data-user Interaction with HTML• Active Reports

Duration• Classroom Learning: 24 hours• Self-Paced Online Learning: 16 hours• Total Hours: 40 hours

CLOUD APPLICATION DEVELOPERBRING YOUR IDEAS TO LIFEDid you know that Snapchat, Instagram, and DropBox did not even need a workstation to begin with? It all started with an idea and Cloud. With Cloud, you no longer need weeks to build an application; it now takes a few minutes to turn a concept into a running system.

The Cloud Application Developer course prepares learners to develop applications on a hybrid cloud development platform. This will require skills in application development frameworks on cloud such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services. The Cloud Application Developer will use tools to build, run, deploy and manage applications on Cloud.

Learning ModulesThis course comprises the following learning modules:

Module I - Cloud Application Foundations• Understanding Cloud Computing Technologies• Introduction to HTML5 and JavaScript Programming

Associated Job Roles The knowledge and abilities imparted in this course will help learners in job roles such as:• Cloud Solution Administrator• Mobile Application Developer• Mobile Application Administrator• Business Process Developer

Module II - Cloud Application Developer• Cloud Service Models (laaS, PaaS, SaaS)• Bluemix Applications• Building Applications using Node.js, Eclipse, Cloud Foundry and DevOps Services• REST Architecture, JSON and Functional Security• Data Services in Bluemix• Server-side JavaScript• Web Application Framework

Duration• Classroom Learning: 8 hours• Self-Paced Online Learning: 16 hours• Total Hours: 24 hours

IBM Open Badges• Cloud Application Developer: Explorer | Mastery Award

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PREDICTIVE ANALYTICS MODELERPREDICTIVE ANALYTICS FOR GREATER EFFICIENCY AND EDGEA growing number of organisations are turning to predictive analytics to enhance their competitive edge and increase their efficiency. With interactive software becoming more prevalent and easier to use, predictiveanalytics is no longer just the expertise of mathematicians and statisticians.

The Predictive Analytics Modeler course prepares learners to learn the essential analytics models to collect and analyse data efficiently. This will require skills in predictive analytics models such as data mining, data collection and integration, nodes, and statistical analysis.

The Predictive Analytics Modeler will use tools for market research and data mining in order to predict problems and improve outcomes.

Learning ModulesThis course comprises the following learning modules:

Module I - Analytics Overview• Business Analytics Overview, Trends, Case Studies• Understanding Business Intelligence and Analytics

IBM Open Badges• Predictive Analytics Modeler: Explorer | Mastery Award

Associated Job Roles The knowledge and abilities imparted in this course will help learners in job roles such as:• Business lntelligence Analyst• Security Intelligence Engineer• Watson Cognitive Specialist

Associated Job Roles The knowledge and abilities imparted in this course will help learners in job roles such as:• Application Security Engineer• Cloud Solution Administrator• Predictive Analytics Modeler• Watson Cognitive Specialist

Duration• Classroom Learning: 24 hours• Self-Paced Online Learning: 26 hours• Total Hours: 50 hours

Module II – Business Analytics Foundations• Introduction to Data Mining CRISP-OM

Module Ill - Predictive Analytics Modeler• Nodes and Streams• Initial Data Mining, Storage and Field Measurement• Understanding the Data (Valid and Invalid Values)• Deriving and Reclassifying Fields (CLEM)• Looking for Relationships (Matrix, Distribution, Means, Histogram, Statistics and Plot)• Functions (Conversion, String, and Statistical)• Data Transformation• Statistical, Graphical and Sample Nodes• Automated Data Mining and Modelling• Predictive Models and Customer Segmentation

IBM Open Badges• Security Intelligence Engineer: Explorer | Mastery Award

TeSA CITREP+Administrated by the Infocomm Media Development Authority (IMDA), endorsed courses under Critical Infocomm Technology Resource Programme Plus (CITREP+) will be eligible for funding through the TechSkills Accelerator (TeSA) initiative.

CITREP+ supports local professionals in keeping pace with technology shifts through continuous and proactive training. Through continuous up-skilling, fresh professionals and mid-career professionals may acquire or enhance technical skills sets which will enable them to remain relevant and productive in their careers.

Please visit http://www.imtalent.sg/citrep for full details. Terms and conditions apply.

About e2i (Employment and Employability Institute) e2i is the empowering network for individuals and companies seeking skills and solutions for growth. Since 2008, e2i has assisted more than 600,000 individuals through our career guidance, professional development, and job matching services. With an extensive network of partners, e2i offers hiring, training and productivity solutions to businesses. We are an initiative of the National Trades Union Congress (NTUC) to support nation-wide manpower and skills upgrading initiatives. For more information, please visit www.e2i.com.sg.

About UTAPThe Union Training Assistance Programme (UTAP) is an individual skills upgrading account specially for NTUC Members. It is a training benefit to defray the cost of training and encourage NTUC members to go for skills upgrading.

Module II - Security Intelligence Foundations• Designing a Security Intelligence Solution• Security lntelligence Functional Components

Module Ill - Security Intelligence Engineer• Collecting and Processing Events, Flows, and Vulnerability Data• Investigating an Offense that is Triggered by Events• Using Asset Profiles to Investigate Offenses• Investigating an Offense that is Triggered by Flows• False Positives Overview• Investigating Superflows• Using Rules and Building Blocks• Creating SIEM Reports• Performing Advanced Filtering

Duration• Classroom Learning: 16 hours• Self-Paced Online Learning: 8 hours• Total Hours: 24 hours

SECURITY INTELLIGENCE ENGINEERPREVENT, DETECT AND RESPOND TO CYBER SECURITY THREATSAs hackers become more sophisticated in their operations, many websites have become more vulnerable, with some having fallen prey to cyberattacks. With the cost of cybercrime estimated at US$445 billion annually, the need to protect a company’s online data is more important than ever.

The Security lntelligence Engineer course prepares learners to consolidate event logs from device endpoints within a network to identify threats.

This will require skills in security intelligence and event management such as data security, event offenses, asset profile offenses and event rules. The Security Intelligence Engineer will use tools to investigate offenses that are generated from network logs, and create rules to prevent them from taking place again.

Learning ModulesThis course comprises the following learning modules:

Module I - Cyber Security Overview• Status Quo of IT Security• Security Intelligence and Operations

SUBSIDY SUPPORT

Page 6: IBM SKILLS ACADEMY KAPLAN · IBM Skills Academy @ Kaplan provides world-class training combining IBM’s official technical role-based courses, IBM- ... IBM Watson, hands-on learning,

Kaplan City Campus @ PoMo1 Selegie Road, #06-01, Singapore 188306

Registered with Committee for Private Education (CPE), part of SkillsFuture Singapore (SSG).UEN: 199701260K Validity: 20/05/2018 - 19/05/2022. CITREP+/FY19/MR/19-07/754

For more information, please visit www.kaplan.com.sg/courses/ibm-skills-academy

[email protected] 5738

www.kaplan.com.sg