Security Intelligence Engineer
The Security Intelligence Engineer career path prepares students to consolidate event logs from device endpoints within a network to identify threats. This will require skills in security intelligence 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 that will prevent them from happening further.
Application Security Engineer
The Application Security Engineer career path prepares students to scan web applications against vulnerabilities and attacks. This will require skills in web application security such as scanning, and testing application in order to identify and analyze security vulnerabilities. Training topics will include OWASP security standards, Glassbox scanning, cross-site scripting, broken authentication, cross-site request forgery and threat analysis and reports.
Mobile Application Developer
The Mobile Application Developer career path prepares students to develop native or hybrid mobile applications by using IDE, tools, or front-end framework, using IBM MobileFirst. This individual has demonstrated an understanding of how to use tools, such as Android SDK, Xcode and Cordova SDK, to create and publish mobile applications in public marketplaces and private enterprises.
Mobile Application Administrator
The Mobile Application Administrator career path prepares students to learn administrative tasks that are involved in management of cross-platform mobile applications. Training starts with the setup of the developer environment for Android and iOS (Android SDK, ADT, AVD, and iOS Xcode), followed by deploying, publishing, and managing mobile apps in Google Play, App Store, and Worklight market place. The Mobile Application Administrator training topics will include mobile apps security, push notifications monitoring, apps usage analytics, direct updates and version control.
Business Intelligence Analyst
The Business Intelligence Analyst career path prepares students to understand report building techniques using relational data models. They will also learn how to enhance, customize, and manage professional reports and will then further be explained about Active reports content and functionality.
Predictive Analytics Modeler
The Predictive Analytics Modeler career path prepares students to learn the essential analytics models to collect and analyze 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.
Business Process Analyst
The Business Process Analyst career path prepares students to learn about managing upstream and downstream impacts and the cross-functional importance of processes to the overall objectives of an organization. It also explains important concepts such as process analysis, process improvement, macro design, Playback 0, and identifying and working with key performance indicators (KPIs).
Business Process Developer
The Business Process Developer career path prepares students in process modeling, case management, enhancing coaches, and integration services in the different phases of the BPM lifecycle. This will require skills in implementation and validation of processes, process architecture, and project development. Training topics will include implementation of business process management (BPM) methods, and understanding the process portal.
Big Data Engineer
The Big Data Engineer career path prepares students to use the Big Data platform and methodologies in order to collect and analyze 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.
Cloud Application Developer
The Cloud Application Developer career path prepares students to develop, build, deploy, and test applications using a cloud platform to build Software as a Service (SaaS) solutions. This will require cloud application development skills, such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services. The Cloud Application Developer will use tools to build, deploy, run and manage applications on a cloud platform.
Artificial Intelligence Analyst
The Artificial Intelligence career path prepares students to apply AI 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 and case studies on NLP, Chatbots, and Vision.
The Blockchain Hyperledger Developer career path introduces students to blockchain concepts such as business networks, participants, assets, and trusted transactions, using Hyperledger Composer & Fabric, and IBM Blockchain Platform. This will require skills in topics such as shared ledger, smart contracts, consensus, and architecture of blockchain solutions.