Course Curriculum

    1. Module 1: Generative AI Genesis

    2. Module 2: Use Cases of AI Outside of Finance

    3. Module 3: Landscape of Generative AI

    1. Module 1: Transformers architecture

    2. Module 2: Scaling Laws

    3. Module 3: Pre-Training Stack

    4. Module 4: Post-Training Stack

    1. Module 1: Privacy and Data usage

    2. Module 2: Hallucinations and Alignment

    3. Module 3: Generative AI Regulation around the world

    1. Module 1: Use cases of Generative AI in Finance

    2. Module 2: Deploying Generative AI at scale for financial corporations

    3. Module 3: Skills for Generative AI world

    1. Module 1: Market Research : Generating market reports

    2. Module 2: Portfolio Management : Generating scenarios for portfolios

    3. Module 3: Trading : Writing code to automate workflow

    4. Module 4: Sales : Drafting tailored market colour emails to clients

    5. Module 5: IB : Deal sourcing research

    6. Module 6: Middle Office : Trade Booking bot

    7. Module 7: Wealth Management : Product Recommendation

ChatGPT and LLM in Finance

  • Free
  • 20 lessons
  • 11 Modules, 15+ Case Studies
  • 20+ Quizzes and Assignments
  • 10000+ Lines of code

  • 5 modules

    Each module containing several videos with 5+ hours content with several quizzes.

  • 10000+ lines of code

    Plug and play machine learning master templates and code for 15+ case studies

  • Course Certificate

    Certificate shareable on social media and in resumes.

  • Webinars

    Attend several webinars and session related to course and latest updates on Financial Machine Learning

  • Community

    Be a part of vibrant peer group

  • Affordable

    Much lower valuation compared to expensive $1000+ courses.

Meet Your Instructor

Jonathon Emerick

QuantPy Founder | UQ BE (Chemical) | UQ MFinMath

Jonathon is an Energy Trader with experience in quantitative risk analysis and valuation. He has an evolving YouTube channel related to quantitative finance and is enthusiastic about the applications of Machine Learning and AI in the financial industry.

Hariom Tatsat

VP, Barclays | Author | UC Berkeley MFE | IIT KGP

Extensive experience as a Quant in the areas of Predictive Modeling and Instrument Pricing. Co-author of the book "Machine Learning and Data Science Blueprints for Finance", published in December 2020 by O'Reilly. Machine Learning, AI and Fintech enthusiast.

Top Universities offer this course to their students.

This course was selected and trusted by universities and organizations worldwide.

Career Outlook

$115k

The average annual base pay for a Machine Learning in Finance roles in the US.



10 million

The anticipated machine learning experts needed in finance by 2026.

1.8 million

Current jobs is finance are at risk due to AI and machine learning.

Testimonials

“Whether you are a quantitative analyst in a hedge fund or investment banks looking to start building machine learning models in Python, or a machine learning student looking to work on a ML related project, look no further!”

Aman Kesarwani

“A really practical course. It has a GitHub code repo containing the python code for all case studies included with the course. The code can be easily customized for related ML/AI problems in Finance.”

John Larson

“Wonderfully organized and structured. The case studies to supplement theoretical explanation is something strong highlight of the course. ”

Matt Brandon

Frequently Asked Questions

  • Is there a refund available?

    We respect your time, and hence, we offer concise but effective short-term courses created under professional guidance. We try to offer the most value within the shortest time. Please check the price of the course before enrolling in it. Once a purchase is made, we offer complete course content. For more details on the refund policies see Click Here

  • Is there any support available after I purchase the course?

    Yes, you can ask your queries related to the course on the community. We try our best to reply to the questions asap. However, we might need 2-3 business days in answering the questions. It might take longer in case of complicated questions. Additionally, the python ecosystem, APIs and the functions keep on changing quite frequently. Although, we try to be up to date with the latest setup, but some issues due to the changing python ecosystem is expected.

  • Will I be getting a certificate post the completion of the programme?

    Yes. We provide the certificate after completion of all the quizzes in the course.

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