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Anil Bidari
Chief Consultant
Anil Bidari is a versatile trainer and consultant specializing in GitLab, AWS, Azure, Google, DevOps, Jenkins, Kubernetes, Ansible, Docker, Agile, and Machine Learning. His expertise drives successful technology adoption and implementation, benefiting organizations and individuals alike.
- Time Duration : ----------
- Study Lecture : 8 Lectures
- Skill Level : Advance Course
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
OVERVIEW : ChatGPT in Banking
COURSE DESCRIPTION
COURSE SUMMARY
COURSE OBJECTIVE
COURSE DESCRIPTION
This one-day course offers comprehensive training on using ChatGPT in Banking . It covers AI introduction, ChatGPT applications in finance, hands-on setup, integration, evaluation, plus four lab sessions for practical, experiential learning, concluding with a forward-looking discussion and wrap-up.
COURSE SUMMARY
- One-day intensive training on leveraging ChatGPT in banking and finance.
- Comprehensive overview of AI and its applications in the financial sector.
- Exploration of ChatGPT use cases, benefits, and real-world examples.
- Hands-on experiences with ChatGPT setup, customization, and integration into banking systems.
- In-depth lab sessions focusing on model building, integration simulation, fine-tuning, and brainstorming new use cases.
- Final wrap-up session to discuss future perspectives and collect feedback.
COURSE OBJECTIVE
- Equip participants with a solid understanding of AI, chatbots, and ChatGPT’s role in banking and finance.
- Enable attendees to set up, customize, and integrate ChatGPT into banking systems through practical lab sessions.
- Develop the ability to evaluate and continuously improve ChatGPT’s performance.
- Encourage ideation for new ChatGPT applications in the finance sector.
- Foster open discussion on future trends, opportunities, and challenges in AI and finance.
Course Outline
- What is ChatGPT?
- The Role of AI in Banking and Finance
- Use Cases of ChatGPT in Banking and Finance
- Benefits of Implementing ChatGPT in Financial Services
- 4 Real-world Examples and Case Studies
- Equip participants with a solid understanding of AI, chatbots, and ChatGPT's role in banking and finance.
- Enable attendees to set up, customize, and integrate ChatGPT into banking systems through practical lab sessions.
- Develop the ability to evaluate and continuously improve ChatGPT's performance.
- Encourage ideation for new ChatGPT applications in the finance sector.
- Foster open discussion on future trends, opportunities, and challenges in AI and finance.
- ChatGPT in Banking and finance (Social Media, Websites, Apps)
- Customer Service in Banking in Finance (FAQs, Information Dissemination)
- Public Policy Research and Analysis
- Education and E-Learning for Financial Services
- Real world examples and case studies
- Brief on the importance of prompt engineering in Financial querries
- How well-designed prompts can optimize AI responses.
- Explanation of what prompts are.
- Examples of poorly constructed vs. well-constructed prompts.
- Creating Basic Prompts
- Participants create basic prompts for general use cases.
- Group sharing and feedback session on created prompts.
- Creating Advanced Prompts
- Participants create advanced prompts for specific use cases within their Banking and finance dept
- Group sharing and feedback session on created prompts.
- Lab Session 3: Simulated Integration of ChatGPT with a Mock Banking System
- Lab Session 4 : Brainstorming and Designing New Use Cases for ChatGPT in Finance
- Discussion: Challenges and Opportunities with ChatGPT in Finance
- Addressing Potential Concerns and Questions
- Future Perspectives: ChatGPT and AI in the Finance Sector
- Wrap Up and Feedback Session
Read More : ChatGPT for Finance
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