The Certification In Generative AI In Finance And Banking program is globally designed to develop expertise in applying generative AI to financial services, enabling innovation in risk analysis, fraud detection, financial modeling, and intelligent automation across banking systems.
Learn directly from global practitioners, AI and fintech experts, and industry leaders who are shaping the future of AI-driven financial services, digital banking innovation, and data-powered financial decision-making.









•Introduction to Generative AI
•The historical evolution of Generative AI
•Ethical considerations in AI
•Relevance of Generative AI in finance and banking
•A primer on machine learning
•Understanding supervised and unsupervised learning
•Distinguishing regression from classification
•The essence of neural networks
•The backpropagation method and gradient descent
•Activation functions in deep learning
•Key components of deep learning
•Unpacking Generative Adversarial Networks (GANs)
•The mechanics of GANs
•Applications of GANs in finance and banking
•Recognizing GANs' limitations and challenges
•Exploring Advanced GAN Variants (e.g., StyleGAN, CycleGAN) for Specialized Finance Applications
•Insights into Variational Autoencoders (VAEs)
•Training VAEs
•VAE applications in finance and banking
•A comparative analysis of GANs and VAEs
•Introduction to time series data
•Forecasting using generative models
•Detecting anomalies through generative models
•Leveraging Natural Language Processing (NLP) for sentiment analysis
•Named entity recognition's significance
•NLP applications in risk assessment within finance
•Generative AI's role in fraud detection
•The associated challenges and risks
•Credit scoring models and their importance
•Harnessing generative AI for risk assessment
•Regulatory considerations in credit and risk assessment
•Algorithmic trading's landscape
•Deploying generative AI in trading strategies
•Assessing risks and challenges
•Guidelines for Ethical AI Development
•The significance of model interpretability
•Techniques for understanding generative AI models
•Adhering to regulatory demands
•Learn to create AI Enhanced PowerPoint Presentations, Images, and Chart Analysis for business purposes
•Leverage AI for automated data insights, simplifying the journey from data collection to impactful business strategies
•AI-Powered Document Summarization for HR & L&D Reports
•AI-Based Personalized Recommendation Systems Using PDFs/Word Documents
•Content Generation (Text, Audio, Video, Images) with Prompt Engineering
•Personalized 1-on-1 Trainer/SME Connect Session - Receive a 1-on-1 connect session from Trainer/SME to resolve all types of queries.
•Daily Live Session with Lifelong Learning - Participate in a daily live session with industry experts where professionals from around the world connect with SMEs and have a brainstorming session.
•Defining Agentic AI
•Agentic AI vs Generative AI: Key Differences
•The Inner Workings of Agentic AI
•AI Agents as Financial Advisors
Learn from experienced practitioners and industry leaders who bring real-world expertise and practical insights to the program.
Experience hands-on AI learning every day with 45-minute expert-led sessions. Practice in real time, get your doubts resolved instantly, and gain certification-aligned skills. Build practical, job-ready AI expertise with guidance from global AI leaders.
4 Daily Sessions
45-minute expert-led learning.
Global Experts
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Real-time Practice
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Certification Ready
Industry-aligned skills.
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Step 1
Watch the Video: Learn each tool through expert-led tutorials.
Step 2
Practice with AI-powered challenges.
Lifetime Access: Revisit videos and challenges anytime.
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Prior experience in banking or foundational knowledge of artificial intelligence is recommended but not mandatory to pursue the GSDC Generative AI in Banking Certification.
Exam Questions
40
Exam Format
Multiple choice
Language
English
Passing Score
65%
Duration
90 min
Open Book
No
Certification Validity
5 Years
Complimentary Retake
Yes

GSDC’s Certified Generative AI in Finance and Banking is built for finance teams that are under pressure to deliver faster decisions without compromising control, compliance, or accuracy. The Generative AI banking program is about how easily generative AI technology can be integrated into banking processes, from analysing transaction behaviour and interpreting regulatory texts to generating risk scenarios and improving customer service intelligence.
The AI in Finance Certificate Program consists of how these generative AI models work in finance and how exactly these models convert data into a structured format for finance decision-making. Participants examine applied use cases such as AI-assisted credit evaluation, automated financial reporting, anomaly detection in transaction streams, and generation of audit-ready compliance narratives.
Delivered through GSDC’s Learn by Doing methodology and supported by GSDC AI Studio, the certification adds a critical layer of operational control. Learners can create AI-enabled SOPs, determine validation points, develop risk guards for models, and create escalation processes to ensure accurate, compliant, and auditable outcomes within high-risk bank applications using generative AI.