XPro Courses
XPro offers 6-week experiential micro credentials, designed to simulated work environments into formal education. Structured into 3 agile sprints, these tech-enabled projects are guided by industry experts, helping learners in building technical and workplace skills. Xpro provides hands-on experience in solving real-world challenges, preparing participants for the future of work. Learners will receive a completion certificate and the workplace readiness profile, thus making them better ready for future of work.
Market Trends
Cybersecurity
33%
Jobs to grow by 33% (2020–2030)
Harvard Extension School
DevOps
$63.4B
Market to grow from $10.9B (2023) to $63.4B (2032)
Global Market Insight, IMARC Group
Digital Finance
$9.48B
Generative digital finance market to reach $9.48B by 2032
Statista
Digital Transformation
$3.7B
AI in personal finance market to hit $3.7B by 2033
Market.us Scoop
RPA
$23.9B
RPA market to grow from $2.09B (2020) to $23.9B (2030)
Globe News Wire
Digital Marketing
$4.4T
AI-driven marketing productivity to contribute $4.4T
McKinsey & Company
Our Programs
Cybersecurity - API Testing
The Cyber Security - API Testing course is dedicated to teaching the fundamentals of securing Application Programming Interfaces (APIs) by identifying vulnerabilities and implementing robust protection measures. Participants will explore API testing methodologies, tools, and best practices to detect and prevent security breaches.
Cybersecurity AWS Cloud Testing
The Cyber Security - AWS Cloud Testing course is designed to equip participants with the skills to assess and enhance the security of AWS cloud environments. This project will make students learn to perform vulnerability assessment, penetration testing, and compliance checks specifically within AWS infrastructure.
Azure DevOps Initiative
Begin with the foundational concepts of DevOps. Understand the cultural and professional movement that combines software development (Dev) and IT operations (Ops) to shorten the development lifecycle and deliver high-quality software continuously. Dive deep into core DevOps practices such as continuous integration (CI), continuous delivery (CD), infrastructure as code (IaC), and automated testing.
AWS DevOps Initiative
Equip learners with an in-depth understanding of DevOps practices on AWS, focusing on key principles such as automation, continuous integration and deployment (CI/CD), infrastructure as code (IaC), and real-time monitoring. This program will cover best practices for streamlining software development workflows, optimizing cloud infrastructure, and enhancing system reliability. Participants will gain hands-on experience with AWS tools and services, enabling them to automate deployments, monitor application performance, and ensure scalability.
Digital Finance
The course aims at equipping participants with the skills to analyze business and financial statements within a specific industry. Students will learn to assess company profiles, industry benchmarks, and financial health, generating comprehensive reports used by potential investors or lenders. The course covers critical aspects such as risk assessment, industry analysis, and peer comparisons, providing a practical approach to financial analysis. Ideal for intermediate-level students, this course prepares participants to make informed financial decisions in the digital finance landscape.
Digital Transformation: Service Design
This project aims to prepare learners to partake in the discovery elements of a digital transformation project. Team projects will be based on a digital challenge starting from the problem identification, scope definition, project planning, gathering and analysing data and execution in the form of prototypes of a digital product being designed from fundamentals. Working in teams of 5 and a product owner, learners will utilize tools and develop skills necessary in discovery projects for digital transformation, synthesize self-gathered and publicly available qualitative data to turn them into actionable specifications for digital design.
Digital Transformation: Product Design
Empower learners with the skills and knowledge to conceptualize, design, and develop a digital product by integrating user-centered design principles with business objectives. This program will guide participants through the entire product design lifecycle, from identifying user pain points and market opportunities to creating wireframes, prototypes, and user flows. Learners will gain insights into user research methodologies, usability testing, and iterative design processes to ensure their digital solutions are both functional and impactful. By the end of the training, participants will be able to translate user needs and business goals into well-structured digital products that enhance user experience and drive business success.
Digital Transformation: Finance
Develop an AI-driven personal finance management platform for millennials, using big data and gamification to support budgeting, saving, investing, and improving financial literacy.
Digital Transformation: Human Resource Management
Design a digital HR platform using AI, data analytics, and gamification to enhance employee engagement, improve career development, and reduce turnover.
Digital Transformation: Business Operations
Develop a digital operations management platform featuring automation, real-time analytics, and workflow tools to enhance operations, productivity, and reduce costs.
Digital Transformation: Global Supply Chain
Develop a digital supply chain platform using blockchain, IoT, and data analytics to improve visibility, efficiency, and collaboration across supply chains.
Digital Transformation: Marketing Through AI and Automation
Develop an AI-driven digital marketing platform to personalize and automate campaigns, drive customer engagement, and optimize ROI.
Robotic Process Automation & Artificial Intelligence
AI-enabled Intelligent Robotic Process Automation (RPA) is a course designed to equip learners with the skills to integrate AI with RPA for automating complex business processes. It covers AI technologies like machine learning and natural language processing to enhance the capabilities of traditional RPA, enabling the automation of decision-making tasks, improving efficiency, and reducing operational costs.
AI & Machine Learning: Cancer Cell Prediction
Develop and implement a machine learning model to detect the presence of cancer cells using synthetic patient data. This process includes data preprocessing, feature selection, model training, and performance evaluation to ensure accuracy and reliability. The project will explore various machine learning techniques, such as deep learning or traditional algorithms, to analyze medical datasets effectively. Additionally, efforts will be made to optimize the model for interpretability, scalability, and real-world applicability in medical diagnostics. Key considerations will include ethical implications, data privacy, and bias mitigation to ensure responsible AI development.
Health Informatics: Digital Clinical Data Management
Design a digital clinical data management platform that leverages AI and big data analytics for real-time insights, automating data processes and enhancing research and patient care.
Gen AI for Content Creation
Gain practical experience using pre-trained generative AI models to automate and enhance content creation for marketing and communication needs.