Online Certificate

Generative AI for Research Analyst in Financial Services

Generative AI and research have become inextricably linked. The success of research specialists in financial services will be influenced by their ability to embrace Generative AI. This program enables you to leverage Generative AI’s benefits in Research responsibly.

Enroll Immediately

15 minutes per day

6 weeks

Certificate of achievement

Hands-on Projects

A programme part of the Ai in Finance Academy, training +20,000 professionals across organisations.

Why Generative AI in Research? Why Now?

Generative AI is disrupting the industry, and research is an area that is highly impacted by the technology, with financial institutes implementing GenAI to extracting and summarising information more precisely and efficiently.

0 Bn

The global generative AI in banking and finance market size is anticipated to achieve by 2032 (Precedence Research, 2023).

0 %

estimated percentage of labor time that can be automated using Generative AI in Finance (Bain&Company, 2023).

0 %

Faster for business plans draft and deployment in finance (McKinsey, 2023).

"Generative AI heralds a new frontier for efficiently leveraging data, extracting insights, and creating content that evolves from an enabler of our work to a collaborator."

Our programme is designed to equip research professionals with the knowledge and skills to identify the current landscape of generative AI in research and analytics, leverage AI tools to enhance productivity, and understand the current risks and opportunities in the field.

What you'll learn

30+ constantly updated courses

Enable you to stat up to date in the industry

Industry recognised certification

Get the accredited certificate issued by trusted organisation

Hands-on projects for practical uses

Learn how to use generative AI tools in research and analytics.

Join the gobal community

Lifetime access to community with 10K visionaries.

Learning outcomes

The bite-sized courses enable you to get the basics right from the mechanism of Generative AI, current Research and Analytics landscape and value chain only 15 minutes per day for 6 weeks. 

You will get the chance to understand the generative AI applications and how other companies are implementing generative AI in Research and Analytics.

Learn how to use the cutting-edge generative AI tools in Research and Analytics from extracting data to report summarisation and creation.

Learn how to use AI responsibly by identifying the opportunities, data management, ethical consideration and regulations worldwide.

The course enables you to understand the current implementation of generative AI and key success factors of user journey. You will be able to apply the strategic framework to your team.

Skills you’ll get

Programme Highlights

1. Get a solid foundation of what is Generative AI

15-min lessons per day, over 6 weeks

GenAI landing page image (2)

2. Learn directly from the AI Researcher from AlphaSense

Learn from Yangchen, 2023 Global GenAI Award Winner – Individual Innovator, Senior AI Researcher (GenAI/LLM) at AlphaSense, former JPMC professional, and Columbia MS&E graduate.

3. Learn real-world applications and use cases and apply in your organisation

Grasp the latest industry insight from the best minds in AI and learn how to use it with hands-on projects.

4. Explore successful Generative AI initiatives

Learn how companies adopt Generative AI to enhance efficiency in research, content creation and insights extraction.

Programme content

15-minute lesson per day over 6 weeks. Aquire all the skills for Generative AI.

Week 1: Generative AI Fundamentals

This week explores the definition, the inner mechanisms, and the evolution of Generative AI.

  • Day 1: Definition of Generative AI
  • Day 2: Differences between traditional Machine Learning and Generative AI
  • Day 3: Transformers: a revolutionary breakthrough
  • Day 4: Scaling transformers
  • Day 5: LLMs as a new human/machine interface

Week 2: The Landscape of Generative AI

This week discusses the Generative AI landscape and key players such as infrastructure providers, model providers and application providers. 

  • Day 6: Model providers
  • Day 7: Infrastructure providers
  • Day 8: Application providers
  • Day 9: Hands-on project: Getting started with ChatGPT and Customer Personas
  • Day 10: Hands-on project: Analysing & extracting information from PDF Reports with AI

Week 3: Current landscape of Generative AI in Research

This week delves into the Research domain and compare traditional approaches with AI-driven methods.

  • Day 11: Introduction and background of Research
  • Day 12: Challenges in Research
  • Day 13: Traditional approaches vs AI-driven approaches in Research
  • Day 14: Current landscape of Generative AI in Research
  • Day 15: Expert interview: TBC

Week 4: Applications and use cases of Generative AI in Research

This week discusses Generative AI applications and current initiatives and use cases in Research.

  • Day 16: Applications of Generative AI in Research (1/2)
  • Day 17: Applications of Generative AI in Research (2/2)
  • Day 18: Case studies (1/2)
  • Day 19:Case studies (2/2)
  • Day 20: Expert interview (TBC)

Week 5: From Theory to Practice: Practical Approach

This week focuses on practical applications of generative AI tools in Research. 

  • Day 21: Navigate key Generative AI tools
  • Day 22: Understanding the Prompt Engineering
  • Day 23: Use case
  • Day 24: Use case
  • Day 25:Use case
  • Day 26: Use case

Week 6: Opportunity and risk in Research

This week examines the advantages and key success factors of implementing AI in Research and teaches the privacy and data usage in Generative AI in Research.

  • Day 27: Advantages / Key Success Factors of AI implementation in Research
  • Day 28: Impact and assessment
  • Day 29: Data, Risk, Privacy and Ethical considerations
  • Day 30: Changes in skills

About the lecturers

Huy Nguyen Trieu

Co-founder and Programme Director, CFTE; Former Managing Director, Citi

Huy Nguyen Trieu is the Co-Founder of CFTE and CEO of The Disruptive Group, an advisory firm in innovation and finance. He is also a Venture Partner at Mundi Ventures, a VC fund in Fintech and Insurtech. Passionate about upskilling, Huy co-founded CFTE to help people improve their skills in a tech-driven world. Previously, he was a Managing Director at Citi, and held roles at Royal Bank of Scotland and Société Générale. Huy also led Ukibi, a VC-funded startup in the US.

Yangchen Huang

Staff AI Researcher (GenAI/LLM) at AlphaSense; 2023 Global GenAI Award – Individual Innovator; Ex-JPMC

Staff AI Researcher specialising in Generative AI and Large Language Models (LLM) at AlphaSense. Recipient of the 2023 Global GenAI Award for Individual Innovation. Extensive research and professional experience in machine learning, deep learning, natural language processing (NLP), and computer vision. Current research interests include large language models, document summarization, text generation, information retrieval, semantic parsing, and natural language understanding.

Programme Details

Starts date
Enrol immediately

Programme Tuition

Program Format
100% online, self-paced

What did our alumni say?

Who should take the programme?

Professionals in Financial institutions, Central Banks, Fintech Companies, Startups, Consultancy and more across these roles: 

  • Market Research Analyst
  • Data Analyst
  • Financial Analyst
  • Business Intelligence (BI) Analyst
  • Investment Analyst
  • Economist


Earn an industry-accredited certificate

Receive a Certificate in Generative AI issued by CFTE. The certificate online can serve as a stepping stone to further advancement in your career. Don’t miss this opportunity to stand out in your field.

Shareable on LinkedIn

Learn Generative AI for Research Analyst in Financial Services

Pre-enrol with 40% discount

The programme will start on 1st of July


Enrol now

£ 270

Apply the code to claim the discount: genai40research

For GenAI360 Alumni

£ 225

Generative AI 360 Alumni only

Pricing includes:

  • 6 chapters and 4 hours of expert content
  • Guest experts video
  • 7+ Hands-on projects
  • 10+ Handbooks
  • Glossary
  • Lifetime access to global community
  • Accredited Certificate (In progress)

Mode of payment.
We accept all major credit cards and debit cards.

Get reimbursed by your employer. 
Speak to your manager about the course, and get a reimbursement by your employer. Here is how you can do it (with a template provided). 

You can choose to pay the full amount, or you can opt for a 2-part payment plan option. The 2-part payment option requires one payment upfront, followed by second during your course.

Looking to upskill your organisation? Talk to us.

Interested in training your organisation or sponsoring the course? Contact our team and get more information on the programme.


Most frequent questions and answers about our specialisation

What is the course about?

The course is an online certificate programme designed to empower professionals and institutions with skills to use and leverage generative AI in Research.

The course is self-paced, featuring 15-min daily lessons over 6 weeks with hands-on projects, case studies and industry expert interviews. 

The course content covers fundamentals of generative AI, the landscape of generative AI in Research, current and future applications in Research, and risk management and regulation​.

Why this course?

Participants will gain in-depth knowledge of generative AI, understand its applications and underlying mechanisms, and learn about global trends and know how to integrate AI in their organisations.

The course is designed for professionals in Research who want to enhance productivity and stay competitive in their jobs.

Accessing this course

Participants can immediately enrol the course, costing £450.

  • Mode of payment– We accept all major credit cards and debit cards.
  • Instalments – You can choose to pay the full amount, or you can opt for a 2-part payment plan option. The 2-part payment option requires one payment upfront, followed by second and third during your course. Contact our team at for more information.
  • Get reimbursed by your employer. Speak to your employer and get funded for your learning! Here’s how we can help.

You will have access to the course for 6 months from enrolment. This duration is set to ensure you can pace yourself for the best learning outcome. Though not a common request, you can talk to us if you need an extension of the access after the 6 months are up.

Yes, you will receive a digital certificate upon successful completion of the course. This certificate is digital so it can be shared at any time and embedded into your online professional profile.

If you decide within one week after enrolling in the course (or 5% of completion) that it’s not the right fit for you, we will issue a full refund.

Verified by MonsterInsights