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The Bundle · Machine Learning Edge

The Machine
Learning Edge.

Two courses, one path. Start from zero Python and finish building production machine-learning models on real finance data.

2 full courses
7 hours of video
13 modules
2 certifications
Lifetime access
$249$298Save $49
30-day money-back guarantee. No questions asked.
Course 01Beginner
Python Fundamentals
6 modules · 3.5 hours
$99
+
Course 02Intermediate
Applied Machine Learning
7 modules · 2 case studies
$199
Bundled together
2 courses · 2 certifications · lifetime access
$249$298
GoldmanJPMorganTwo SigmaBlackRockBMORBC
10,000+students trained

These banks have used PyFi courses to train their teams.

The Path

Start where you are. Finish job-ready.

The bundle is a deliberate sequence. Build the Python foundation first, then apply it to real machine-learning problems in finance.

Step 01 · Beginner
Python Fundamentals

Build on the Excel skills you already have, see the parallels fast, and put the open-source libraries finance runs on, NumPy and Pandas, to work.

6 modules · 3.5 hours
Step 02 · Intermediate
Applied Machine Learning

Build real ML models on real financial data with scikit-learn. Two full case studies, from raw data to a production model you can explain to your team.

7 modules · 2 case studies
Two PyFi certifications, one portfolio of real work.
Finish with Python automation skills and two deployable ML models built on real finance data.
Outcomes

Everything you can do once you finish both.

Straight from the course objectives. Python automation and analysis, then applied machine learning, all on real finance data.

Fundamentals

Analyze financial data with Pandas

Clean, transform, and analyze financial data at a scale and speed a spreadsheet cannot touch.

Fundamentals

Put NumPy to work

Fast, array-based math, aggregation, and randomization, the numerical engine under every finance library.

Fundamentals

Write your own Python tools

Work with Python’s core objects and write reusable functions, loops, and logic.

Applied ML

Ship a bond liquidity regressor

Build it on real data with scikit-learn pipelines, and ship the best of five models.

Applied ML

Build an investor classifier

Evaluate it with confusion matrices, AUROC, and F1 scores, then select the winner.

Both courses

Earn two PyFi certifications

Pass both exams and add Python and machine learning to your resume and LinkedIn.

What's inside

Two complete courses. Open each one up.

Expand a course for objectives, curriculum, and a sample lesson.
What you'll be able to do
  • See the direct parallels between the Excel work you already do and Python, so the fundamentals click fast.
  • Get comfortable in a real coding environment: Jupyter notebooks, variables, calculations, and outputs.
  • Work with Python’s core objects (lists, tuples, sets, dictionaries) and write your own functions, loops, and logic.
  • Put NumPy to work for fast, array-based math, aggregation, and randomization.
  • Use Pandas to clean, transform, and analyze financial data at a scale and speed a spreadsheet cannot touch.
  • Tap into the open-source ecosystem: free, professional-grade tools that are a genuine edge over locked-down, paid software.
  • Earn the PyFi certification for your resume and LinkedIn.
Curriculum
01Python BasicsFoundations
02Python ObjectsLists, tuples, sets, dicts
03Custom FunctionsFunctions, loops, logic
04NumPyArray-based math
05PandasClean, filter, analyze
06Certification ExamTimed · all modules
Sample lesson
# Lesson 05.02 · Importing data
import pandas as pd
portfolio = pd.read_csv("holdings.csv")
top_5 = portfolio.nlargest(5, "weight")
Sample05.02 Importing Data
2:43
Sold on its own for$99 · included in bundle
Certification

Two certifications. One signal to employers.

Finish each course and pass its timed exam to earn a PyFi Certification for that course. Add both to your resume and LinkedIn as proof you can put Python and machine learning to work from day one.

Built on algorithms used to advise
HormelHPCardinal HealthGapAmerisourceBergenMcDonald'sAmerican WaterMacy's

The Applied ML case studies are modeled on real corporate advisory work. Code is altered to protect client IP.

PyFiCertificate of Completion
This certifies proficiency in
Python Fundamentals
Zach Washam
Head of Instruction · PyFi
PyFi Certified
PyFiCertificate of Completion
This certifies proficiency in
Applied Machine Learning
Zach Washam
Head of Instruction · PyFi
PyFi Certified
Your instructor
Zach Washam
Zach Washam
Founder · Head of Instruction

Zach Washam
Ex - Wells Fargo

Zach founded PyFi (originally Machine Learning Edge) in 2018 after a career at Wells Fargo Securities. While working as an analyst on the debt syndication desk, he taught himself Python and built the firm's first machine learning algorithm for investment banking, using predictive modelling to improve decision-making in capital markets.

He submitted two algorithms for patent protection and won Wells Fargo's 2018 Local Sphere Innovation Award. His original research, including the efficient frontier framework for mapping Python against competing finance tools, remains foundational to PyFi's published work. His courses have been delivered to thousands of finance professionals at institutions including J.P. Morgan, Royal Bank of Canada, Bank of Montreal, and TD Bank.

Ex–Wells Fargo Securities
Built WFS's first ML algorithm for investment banking
2018 Local Sphere Innovation Award
10,000+ finance professionals taught
Enroll

Machine Learning Edge Bundle

4.9out of 5
$249.00 USD$298.00 USD16% OFF
Get the bundle

Join over 10,000 professionals in the finance function from analysts, associates, VPs of investments, and CFOs, including top banks like JP Morgan, TD Bank, Bank of Montreal, and Royal Bank of Canada who have used PyFi to keep their skills ready for the future of finance.

What's included
Python Fundamentals course + certificate
Applied Machine Learning course + certificate
Both professional certification exams
Lifetime access, including all future updates
Instructor support in the lesson comments
30-day money-back guarantee
30-day guarantee Secure checkout

Already own one course? Email support@pyfi.com and we'll credit it toward the bundle.

Risk reversal

The risk is 100% on us.

Take both courses and work through every module. If you do not feel more capable building with Python and machine learning within 30 days, email us and we will refund every cent, no forms and no hoops. The courses and your code notebooks stay yours either way.

Umut Sagir
CTO · Head of Programming
support@pyfi.com
30-day money-back guarantee, no questions asked
Keep both courses and every code notebook, even if you refund
Lifetime access, including all future updates
Real instructor support in the lesson comments
Questions

Common questions about the bundle.

PyFi's Python training is custom-tailored for finance professionals with minimal to no coding experience. We teach Python by building off your existing Excel skill set and focus on the concepts relevant to you. We're not building rocketships; we're teaching you how to work through finance workflows. With instructor support and the most relevant concepts, PyFi is the market's best choice for someone in finance who has decided to learn Python.