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Certified Generative AI in Finance and Banking Professional

The financial sector is undergoing a massive
transformation driven by Artificial Intelligence. The Certified
Generative AI in Finance and Banking certification by the
Global Skill Development Council (GSDC) provides a
comprehensive deep dive into how GenAI is reshaping banking,
trading, risk management, and compliance.

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4.9 of 5

by 14384 Learners

100%

HRDC Claimable

500+

Workshops

20000+

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Course Overview

This course goes beyond the buzzwords that covers everything from the historical evolution of AI to advanced practical applications like Retrieval-Augmented Generation (RAG) for financial reporting and Generative Adversarial Networks (GANs) for fraud detection.

Whether you are a financial analyst, data scientist, or banking professional, this certification will equip you with the technical knowledge and ethical frameworks needed to implement cutting-edge AI solutions in a highly regulated industry.

Course Outline

Comphrensive syllabus that covers all the aspects of the domain

Day 01

Module 1: Exploring Generative AI
– Introduction to Data-driven vs. Concept-driven AI.
– The historical evolution: From Rule-based systems to Transformers
– Ethical considerations: Privacy, Security, Quality, and Fairness.
– Relevance in Finance: Customer service, Product development, and Market analysis.

Module 2: Machine Learning Fundamentals
– Supervised vs. Unsupervised Learning.
– Distinguishing Regression from Classification.
– Key techniques: Linear regression, Logistic regression, and K-means clustering.

Module 3: Delving into Deep Learning
– Neural Networks & Transformer Architectures.
– Key components: Backpropagation, Gradient Descent, and Regularization.

Module 4: Generative AI for Finance
– Transformers & LLMs: Self-attention mechanisms and deep contextual understanding.
– RAG (Retrieval-Augmented Generation): Combining generative creativity with factual retrieval for accurate reporting.
– Diffusion Models: Applications in stress testing and scenario simulation

Module 5: Fine-Tuning LLMs for Financial AI
– Advanced Fine-Tuning: LoRA (Low-Rank Adaptation) and QLoRA.
– Enterprise Solutions: API-based LLMs (OpenAI, Claude, BloombergGPT) for predictive modeling.
– Comparative Analysis: Traditional Models vs. Fine-Tuned LLMs.

Module 6: AI-Powered Financial Forecasting
– Time Series Characteristics: Trends, Seasonality, and Outliers.
– Transformer-Based Forecasting: DeepAR and Temporal Fusion Transformers (TFT).
– Anomaly Detection: Using LLMs and self-supervised methods.

Day 02

Module 7: NLP and Sentiment Analysis
– Sentiment Analysis: Lexicon-based vs. Machine Learning methods.
– Named Entity Recognition (NER): Linking text to financial data (e.g., identifying tickers and companies).
– Applications in Risk Assessment and Credit Scoring.

Module 8: Fraud Detection in Finance
– Role of GANs and VAEs in detecting anomalies and generating synthetic fraud data.
– Challenges: Data quality, Model interpretability, and Ethical issues.
– Document Processing: Automating contract analysis and compliance verification.

Module 9: Credit Scoring and Risk Assessment
– AI-Powered Credit Analysis: Integrating alternative data (social media, behavioral data).
– Regulatory Considerations: EU AI Act, USA AI Executive Order, and Fairness/Bias mitigation.

Module 10: Algorithmic Trading with Generative Models
– Deploying GenAI in trading strategies using GANs, VAEs, and NLG.
– Assessing risks: Market volatility, liquidity, and competition.
– Guidelines for Ethical AI Development in trading.

Module 11: Model Interpretability and Explainability
– Techniques: SHAP, LIME, and Saliency Maps for understanding “Black Box” models.
– Adhering to regulatory demands (GDPR, SEC, FINRA).


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Trainer: Ranjeev K Babu

ranjeev k babu

Ranjeev is an exceptionally accomplished and awe-inspiring trainer and facilitator, boasting an illustrious background spanning the military and corporate sectors. With an unwavering dedication to Agile training and corporate development, he has forged an unparalleled reputation as a true master in these fields.

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Testimonials

What Our Customers Say

Hear from our satisfied customers who have experienced the quality and value of our products and services.

★★★★★

Never have I attended such an engaging course and it makes my journey of Agile and Scrum journey much more fun and fulfilling. Trainer Stuart Mitchell has definitely take up the standard of teaching and coaching up many notches. Very insightful views from vast working experiences that Stu has. Highly recommended!

eugene lee

Eugunee Lee

★★★★★

Dennis and team are just simply great to work with. They are prompt with their replies and clear with their instructions to ensure that learners get the best experience and learning journey with them. That’s why I had chosen to go back to them for my CSPO course after taking my CSM course with them. I am looking forward to the post course gatherings and informal trainings which I heard they they organize after Covid.

edwin anuruddha chow

Edwin Anuruddha Chow

★★★★★

The class was conducted in the best way possible (online zoom classes)! Stu is really passionate and shares many tips on facilitation. Highly recommend to anyone!

quah kai li

Quah Kai LI

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