Course Specific FAQs

The AI & Data Analytics for Finance Professionals course is an intensive four-day training designed to equip finance professionals with foundational skills in applying Artificial Intelligence (AI) and Machine Learning (ML) within the financial sector. It focuses on practical use of Lo-Code AI and ML tools to enhance financial data analysis capabilities and decision-making. The course addresses the evolving technological landscape in finance, enabling participants to implement AI-driven strategies effectively.

In the AI & Data Analytics for Finance Professionals course, you will learn to set up Lo-Code AI and ML environments, interpret and operationalise model outputs, and apply advanced predictive analytics techniques. The course teaches data cleaning, visualisation, time series analysis, and supervised and unsupervised learning methods for finance. It also covers decision-making using AI and ML tools, empowering you to develop strategic financial insights and improve problem-solving.

The AI & Data Analytics for Finance Professionals course employs an instructor-driven methodology that combines high-intensity hands-on exercises with real-life case studies. Participants actively engage with AI and ML tools through practical tasks such as setting up environments, analysing live financial data, and performing scenario simulations. This approach ensures applied learning and skills development in data analytics for financial decision-making.

This course is ideal for finance professionals such as financial analysts, investment bankers, corporate planners, and treasurers, as well as risk analysts and managers, banking professionals in credit, market and treasury risk, and C-level executives seeking to understand AI's impact on finance. Senior managers overseeing financial data analytics departments will also benefit. A basic understanding of financial management and financial statements is recommended.

To enroll in the AI & Data Analytics for Finance Professionals course, participants should have a basic understanding of financial management and financial statements. No advanced preparation is required. A laptop equipped with Excel and the ability to install Anaconda Navigator for using AI and ML tools is also necessary for the hands-on components.

Yes, participants who attend all sessions and successfully complete the course assessments will receive an Informa Connect Academy Certificate of Completion. The course awards up to 24 CPE credits in the field of Finance through the National Association of State Boards of Accountancy (NASBA). Those not meeting all criteria will receive a Certificate of Attendance noting their participation hours.

The course imparts technical skills in AI and ML proficiency, data management, and model deployment. You will develop analytical skills in data visualisation and modelling, strategic problem-solving skills, and applied skills for designing and implementing AI and ML-based financial tools. These competencies enhance your capability in data analytics for finance professionals training and financial decision-making.

The AI & Data Analytics for Finance Professionals course is delivered through instructor-led sessions combining theoretical framework with practical hands-on exercises and case studies. The training is available both in-person, with included documentation and refreshments, and live online, requiring stable Wi-Fi and active participation for CPE credit eligibility. Download the course brochure for full details.

Participants must use a laptop with Microsoft Excel to complete the course exercises. It is essential to install Anaconda Navigator software to set up the Lo-Code AI and ML environment. A stable internet connection is required for those attending virtually, along with keeping cameras on for attendance monitoring and participating in quizzes and polls.

The course emphasises Data Analytics in Financial Decision-Making through AI and ML tools, making it valuable for those pursuing credentials specific to finance data and analytics for finance professionals. Participants gain both theoretical knowledge and hands-on experience tailored to certification needs.

Informa Connect Academy is a global provider of certified professional training, offering expert-led courses in leadership, finance, HR, strategy, and more. As part of the FTSE 100-listed Informa Group, we deliver 1,000+ courses annually across in-person, live online, and digital formats, helping professionals and organisations upskill with confidence.

Informa Connect Academy delivers training across 15+ key sectors, including:

• Finance & Risk

• Human Resources

• Project Management

• Energy & Sustainability

• Maritime & Transport

• Technology & Innovation

• Leadership & Strategy

• Law, Procurement & Supply Chain

Each course is industry-relevant and globally certified, helping professionals upskill with practical tools for career growth.

Explore programmes by sector in our course catalogue or calendar.

Informa Connect Academy offers 1,000+ certified training programmes across in-person, live online, and on-demand formats. Courses cover leadership, finance, HR, strategy, operations, and more with CPD-accredited and university-backed options. Whether you're seeking flexible online learning or immersive classroom sessions in cities like Dubai, London, or Singapore, there’s a format to suit every schedule and career stage.

Our courses are led by senior certified trainers and former C-suite leaders with 15–30+ years of real-world experience. Faculty members are experts in their field, often working across Europe, the Middle East, Asia, and Australia. You’ll find bios and credentials for each trainer on the brochure, so you know exactly who’s leading your session before enrolling.

Most Informa Connect Academy courses are CPD-accredited or delivered in partnership with globally recognised organisations, including CIPD, PMI, NASBA, EFQM, WorldatWork and DMI. These accreditations ensure that our programmes meet international training standards and support your professional development goals. You can view the full list of accreditation and academic partners here.