Professional Certificate in AI-Powered Business Analysis
3.500,00 EUR
- 15 weeks
Transform business analysis with artificial intelligence, data analytics, and intelligent automation. The Professional Certificate in AI-Powered Business Analysis, developed in collaboration with Duke University, equips professionals with the skills to translate business needs into actionable insights, optimize processes, and support data-driven decision-making.
About the Program
In collaboration with Duke University, Powered by Simplilearn
- 15 weeks length program
- Live classroom (6-8 hrs / Week weekend classes)
- Ask us for the next cohort and schedule details!
The program combines business analysis methodologies, Agile practices, business intelligence, and Generative AI with practical applications using tools such as Excel, SQL, Power BI, and other AI-powered solutions. Learners develop expertise in requirements gathering, stakeholder management, process improvement, data visualization, and workflow automation.
Through live online sessions, expert-led masterclasses, hands-on industry projects, and an Agentic AI capstone, participants learn to apply AI to real-world business challenges. The curriculum also includes CBAP® certification training, helping learners strengthen their business analysis capabilities and prepare for more advanced professional responsibilities.
What Is Included?
Course and material are in English
Beginner to advanced level
12 weeks of online classroom by industry experts
(6-8 hours/week weekend classes)
in collaboration with Duke University, powered by Simplilearn
180+ hours of live classes and mentor-led project support
250+ hours of study time and practice recommended
1 year platform access & class recordings
Explore Tools for Process Mapping and Diagramming
- End-to-End Problem Solving and Hands-On Project
Bonus Live online Duke Faculty Masterclasses
Earn a certificate of completion from Duke University and Simplilearn
What Skills Will You Gain?
At the end of this Program, you will be able to:
Apply business analysis methodologies
Use structured techniques for requirements elicitation, stakeholder engagement, requirements management, and solution evaluation.
Leverage AI in business analysis
Apply Generative AI and Agentic AI to support requirements gathering, documentation, gap analysis, user story creation, and reporting
Analyze business data
Use Excel and SQL to clean, query, interpret, and organize data for informed decision-making
Develop business intelligence solutions
Create interactive Power BI dashboards, reports, and visualizations to communicate business performance and trends.
Optimize business processes
Identify inefficiencies, map workflows, and evaluate opportunities for robotic process automation (RPA) and process improvement.
Apply Agile and product thinking
Develop user stories, prioritize backlogs, support sprint planning, and translate business objectives into actionable requirements.
Build AI-powered workflows
Design business analysis agents and structured AI workflows to automate repetitive tasks and improve productivity.
Strengthen strategic decision-making
Interpret analytical findings, identify risks and opportunities, and communicate recommendations to stakeholders.
Deliver practical business solutions
Apply the skills gained through hands-on projects and an Agentic AI capstone focused on real-world business scenarios.
15+ Key Skills You’ll Develop
- Strategic and Data-Driven Decision-Making
- SQL for Business Analysis
- Stakeholder Engagement and Management
- User Story Development
- Business and Functional Requirements Documentation (BRD/FRD)
- Business Process Automation
- Dashboard Design and Data Visualization
- Business Strategy Analysis
- Requirements Lifecycle Management
- Business Analysis Planning and Monitoring
- Agentic AI Applications in Business Analysis
- AI Agent Design and Development
- Business Analytics and Insights
- Business Process Mapping
- Agile and Scrum Methodologies
- Solution Assessment and Evaluation
- Requirements Elicitation and Collaboration
- Requirements Analysis and Specification
- Solution Design and Definition
An Engaging Learning Journey
Experience a collaborative classroom setting by connecting with peers and engaging with mentors in real time via Slack.
About Duke University
Duke University is a leading private research institution among U.S. National Universities.The Duke University Fuqua School of Business highlights its expertise in analytics education and industry impact. The program combines Duke University’s academic oversight with an immersive learning approach, featuring practical workshops focused on emerging technologies and real-world industry applications.
What added value does Duke University contribute to the program?
The program curriculum is designed, reviewed and approved with the assistance of the university, which gives the program quality legitimacy and a co-branded certificate of completion. Please be aware that the live classes are not held by actual University faculty staff but by many experienced Industry experts who are suitable for each topic.
*Disclaimer: The course curriculum and learning path are subject to change. Partners reserve the right to update content in line with evolving industry trends and requirements
What Will You Learn?
CBAP® Certification Training
Course 1
AI-Powered Business Analytics With Excel
Course 2
Microsoft Power BI with AI Assistance
Course 3
RPA, Business Automation Basics & Process Mining
Course 4
Agile Frameworks and Product First Thinking
Course 5
Business Analysis Capstone Project
Course 6
Masterclass Series by Duke Faculty
Course 7
Agentic AI Workshop for Business Analysis
Course 8
GenAI-Powered SQL for Business Analysts
Elective 1
Data Visualization Using Tableau
Elective 2
Introduction to Microsoft Azure Data Analytics in Azure
Elective 3
AI Impact Studio
Elective 4
Who Should Enroll in this Program?
Business Analysts
Business Intelligence and Data Analysts
Project and Product Managers
Process Improvement and Automation Professionals
Business and Digital Transformation Leaders
Prerequisites
- A bachelor's degree is recommended.
- At least two years of professional experience is recommended for learners seeking to advance their careers.
- A strong interest in business analysis, data-driven decision-making, and problem-solving is beneficial.
- Familiarity with business processes, stakeholder collaboration, or data analysis can be helpful.
Frequently Asked Question
Need a Custom In-company or Group Training?
Request for in-company training program tailored specifically to your team. We offer flexible customization options to align with your business goals, alongside competitive group rates for larger teams. Fill out the form below, and our corporate training experts will design the perfect solution for you.