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| 1 - Foundations of Generative AI in Financial Services | |||
| 1 - Foundations of Generative AI in Financial Services.mp4 | 459.1 MB | ||
| 1 - Generative AI for Financial Services.pdf | 1.5 MB | ||
| 2 - Large Language Models (LLMs) for Financial Report Analysis | |||
| 2 - Large Language Models (LLMs) for Financial Report Analysis.mp4 | 333.8 MB | ||
| 3 - Automated Document Processing for Loans & KYC | |||
| 3 - Automated Document Processing for Loans & KYC.mp4 | 264.1 MB | ||
| 4 - Generating Investment Research & Market Intelligence | |||
| 4 - Generating Investment Research & Market Intelligence.mp4 | 339.9 MB | ||
| 5 - Regulatory Compliance & Risk Automation Using GenAI | |||
| 5 - Regulatory Compliance & Risk Automation Using GenAI.mp4 | 278.5 MB | ||
| 6 - Conversational Interfaces for Complex Financial Products | |||
| 6 - Conversational Interfaces for Complex Financial Products.mp4 | 291 MB | ||
| 7 - Data, Security, and Responsible AI in Financial GenAI | |||
| 7 - Data, Security, and Responsible AI in Financial GenAI.mp4 | 288.9 MB | ||
| 8 - Implementation Roadmap & Future Outlook | |||
| 8 - Implementation Roadmap & Future Outlook.mp4 | 197.8 MB | ||
| 9 - Case Studies on GenAI for Financial Services | |||
| 9 - Case Studies on GenAI for Financial Services.mp4 | 95.2 MB |
Generative AI for Financial Services
https://WebToolTip.com
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 0m | Size: 2.49 GB
Learn to apply Generative AI, LLMs & RAG across financial services, banking, insurance, compliance, risk, and research.
What you'll learn
Understand the fundamentals of Generative AI and Large Language Models (LLMs) in financial services.
Analyze financial reports, earnings calls, and disclosures using AI-powered techniques.
Implement Retrieval-Augmented Generation (RAG) for financial document intelligence.
Automate loan processing, KYC verification, AML workflows, and customer onboarding.
Generate investment research summaries and market intelligence from multiple data sources.
Apply Generative AI to regulatory compliance, risk monitoring, and governance processes.
Design conversational AI assistants for banking, insurance, and wealth management use cases.
Build secure, responsible, and regulator-ready AI solutions for financial institutions.
Evaluate GenAI deployment strategies, vendor selection, and operating models.
Identify high-impact GenAI opportunities and develop implementation roadmaps for BFSI organizations.
Understand the risks, limitations, and governance requirements of Generative AI in regulated financial environments.
Learn through real-world banking, insurance, lending, compliance, and capital markets case studies.
Requirements
Enthusiasm and determination to make your mark on the world!
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| 776.8 MB | freecoursewb | 7 hours | 1 | 11 | |
| 2 GB | freecoursewb | 2 weeks | 27 | 34 | |
| 1.9 GB | freecoursewb | 4 weeks | 6 | 3 | |
| 1.1 GB | freecoursewb | 4 weeks | 42 | 30 | |
| 1.6 GB | freecoursewb | 1 month | 0 | 0 |
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