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📘 Course Overview
Empower your financial operations with AI-driven tools. This certification shows how Generative AI is reshaping credit scoring, fraud detection, robo-advisory, and regulatory compliance.
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🌟 Course Benefits
▸ Automate credit and risk analysis
▸ Optimize customer engagement in banking and finance
▸ Improve fraud detection accuracy using AI models
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✅ Prerequisites & Eligibility
▸ Professionals from banking, finance, fintech, or risk backgrounds
▸ No prior AI or technical experience required
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🎯 Learning Objectives
▸ Deploy Generative AI for underwriting and customer profiling
▸ Automate financial document creation and audit trails
▸ Detect financial fraud patterns using AI and LLMs
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📚 What You Will Learn
▸ Use of GPT models in wealth advisory and KYC processes
▸ Automation of financial document workflows
▸ Personalized client communication and insights using AI
▸ Compliance reporting and predictive analytics in BFSI
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👥 Who Is This Certification For?
▸ Finance Managers and Banking Professionals
▸ Fintech Innovators and Analysts
▸ Credit Risk and Compliance Officers
▸ Financial Advisors and Product Managers
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🗝️ Our Key to Certification Exam & Career Success
▸ Tailored for BFSI industry challenges
▸ ROI-focused and practical learning modules
▸ Fintech-ready skills and real-world use cases
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📝 Certification Steps & Exam Format
▸ Complete self-paced learning modules
▸ Study real banking and fintech case studies
▸ Take the final certification exam
Exam Format:
▸ 60 multiple-choice questions
▸ Passing Score: 70%
▸ Online exam format with instant results
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💼 Certified Professionals Earn
▸ Competitive advantage in Fintech and AI-augmented finance roles
▸ Enhanced opportunities in digital-first banking and innovation teams
▸ Recognition as a future-ready finance professional
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❓ FAQs
Q: Is this certification suitable for non-technical finance roles?
✔ Yes. It’s designed for business users and easy to follow without coding knowledge.
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📜 Accredited By
GSDC – Global Skill Development Council, Global Financial Training Authority
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Curriculum
- 14 Sections
- 0 Lessons
- 30 Days
Expand all sectionsCollapse all sections
- 1. Exploring Generative AIIntroduction to Generative AI The historical evolution of Generative AI Ethical considerations in AI Relevance of Generative AI in finance and banking0
- 2. Machine Learning FundamentalsA primer on machine learning Understanding supervised and unsupervised learning Distinguishing regression from classification0
- 3. Delving into Deep LearningThe essence of neural networks The backpropagation method and gradient descent Activation functions in deep learning Key components of deep learning0
- 4. Generative Adversarial Networks (GANs) in FinanceUnpacking Generative Adversarial Networks (GANs) The mechanics of GANs Applications of GANs in finance and banking Recognizing GANs' limitations and challenges0
- 5. Variational Autoencoders (VAEs) in FinanceInsights into Variational Autoencoders (VAEs) Training VAEs VAE applications in finance and banking A comparative analysis of GANs and VAEs0
- 6. Time Series Analysis with Generative ModelsIntroduction to time series data Forecasting using generative models Detecting anomalies through generative models0
- 7. NLP and Sentiment Analysis in FinanceLeveraging Natural Language Processing (NLP) for sentiment analysis Named entity recognition's significance NLP applications in risk assessment within finance0
- 8. Fraud Detection in FinanceGenerative AI's role in fraud detection The associated challenges and risks0
- 9. Credit Scoring and Risk AssessmentCredit scoring models and their importance Harnessing generative AI for risk assessment Regulatory considerations in credit and risk assessment0
- 10. Algorithmic Trading with Generative ModelsAlgorithmic trading's landscape Deploying generative AI in trading strategies Assessing risks and challenges Guidelines for Ethical AI Development0
- 11. Model Interpretability and ExplainabilityThe significance of model interpretability Techniques for understanding generative AI models Adhering to regulatory demands0
- 12. Use Cases with Generative AI Tools & Hands-on DemosLearn 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 Harness the power of AI for document summarization, distilling vast information into concise summaries effortlessly Build AI-powered personalized recommendation systems with your data on PDF/Word documents using AI assistants Content Generation (Audio, Video, Images) with Prompt Engineering0
- 13. Personalized 1-1 & Group connect sessionPersonalized 1-on-1 Trainer/SME Connect Session - Receive a 1-on-1 connect session from Trainer/SME to resolve all types of queries. Weekly Group Mentor Connect Session with Lifelong Learning - Participate in a weekly group session with an industry experts where all types of professioanls around the world connet with SME and have a brainstorming session.0
- 14. From Generative to Agentic AI: The Next Big LeapDefining Agentic AI Agentic AI vs Generative AI: Key Differences The Inner Workings of Agentic AI AI Agents as Financial Advisors0
Course Includes:
- Price:
₹8,563.00
- Instructor:Admin
- Duration:30 days
Lessons:0- Students:284
- Language:English
- Certifications:Yes
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