All 50 Courses: Trading, Python, Quant & AI

50Specialized courses

10Disciplines

4Flagship programs

3-12Weeks per course

Beginner

3 weeks

3 modules

Global Financial Markets Fundamentals

A structured introduction to how global equity, fixed income, currency and commodity markets are organized, who participates, and how prices and risk are communicated.

Proposed fee$199

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Beginner

4 weeks

4 modules

Technical Analysis & Market Structure

Learn how price charts, volume and market microstructure are read and measured, and how to test chart-based ideas critically instead of taking patterns on faith.

Proposed fee$299

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Beginner

5 weeks

5 modules

Fundamental Equity Research & Valuation

Read financial statements, build a structured company model and value a business with multiples and discounted cash flow, while documenting every assumption.

Proposed fee$399

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Beginner

4 weeks

4 modules

Financial Risk Management Fundamentals

Learn to identify, measure and communicate market, credit, liquidity and operational risk using volatility, drawdown, VaR and stress testing concepts.

Proposed fee$349

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Intermediate

5 weeks

5 modules

Global Markets & Portfolio Analytics

Analyze multi-asset portfolios across global markets with return attribution, risk decomposition, currency effects and optimization methods, all in Python.

Proposed fee$449

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Beginner

5 weeks

5 modules

Python Programming for Financial Markets

Learn Python from the ground up through financial examples: core syntax, pandas time series, returns calculations, plotting and clean, testable code.

Proposed fee$499

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Intermediate

6 weeks

6 modules

Advanced Python for Quant Developers

Write fast, well-structured and well-tested Python for quantitative work: performance profiling, vectorization, concurrency, typing, packaging and design patterns.

Proposed fee$699

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Intermediate

5 weeks

5 modules

Financial Data Analytics with Python

Turn raw market and fundamental data into reliable insights with pandas, statistics and visualization, emphasizing data quality, reproducibility and honest interpretation.

Proposed fee$599

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Intermediate

6 weeks

6 modules

Financial APIs & Data Engineering

Build dependable data collection and storage for financial applications: consuming REST and WebSocket APIs, validating data, and orchestrating pipelines into PostgreSQL.

Proposed fee$799

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Intermediate

7 weeks

7 modules

Building Financial Dashboards & Applications

Design and build interactive financial dashboards and small web applications with Python, from data layer and charts to authentication, testing and deployment.

Proposed fee$899

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Beginner

4 weeks

4 modules

Algorithmic Trading Fundamentals

Learn how algorithmic trading systems are structured, from market data and signals to orders, risk checks and evaluation, with a clear view of their limits.

Proposed fee$399

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Intermediate

6 weeks

6 modules

Algorithmic Trading with Python

Build a modular algorithmic trading research stack in Python, covering data handling, signal libraries, vectorized and event-based backtests, and paper-trading workflows.

Proposed fee$799

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Intermediate

8 weeks

8 modules

Advanced Algo Strategy Development

Develop multi-signal, multi-asset algorithmic strategies with rigorous research workflows, realistic execution modeling and disciplined robustness testing.

Proposed fee$999

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Advanced

8 weeks

8 modules

Event-Driven Trading System Architecture

Design and build an event-driven trading system architecture with message queues, state management, risk services and replayable simulations shared between research and paper trading.

Proposed fee$1,199

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Advanced

10 weeks

10 modules

Professional Algorithmic Research Systems

Engineer a professional-grade algorithmic research platform with versioned data, experiment tracking, scalable backtesting, validation gates and review workflows.

Proposed fee$1,499

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Intermediate

5 weeks

5 modules

Trading Strategy Design & Research

Learn a structured process for designing trading strategies: forming hypotheses, defining rules, choosing data and evaluation criteria, and documenting research honestly.

Proposed fee$599

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Intermediate

6 weeks

6 modules

Python Backtesting Masterclass

Build accurate, bias-aware backtesting engines in Python, from vectorized prototypes to event-driven simulators with realistic costs, fills and portfolio accounting.

Proposed fee$799

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Intermediate

7 weeks

7 modules

Advanced Strategy Validation & Optimization

Apply rigorous validation methods to trading strategies: walk-forward and cross-validation, overfitting diagnostics, multiple testing control and robust parameter optimization.

Proposed fee$999

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Advanced

8 weeks

8 modules

Portfolio Strategy & Risk Analytics

Combine strategies into portfolios and analyze their risk with allocation methods, risk decomposition, drawdown analysis, stress testing and risk reporting in Python.

Proposed fee$1,199

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Advanced

10 weeks

10 modules

Institutional-Style Quant Research Methods

Practice quant research the way professional teams structure it: rigorous hypotheses, point-in-time data, factor-aware testing, validation, peer review and decision memos.

Proposed fee$1,499

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Beginner

4 weeks

4 modules

AI Fundamentals for Financial Markets

A practical introduction to how AI and machine learning are applied to financial data, with an emphasis on sound evaluation, data leakage and the limits of prediction.

Proposed fee$499

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Intermediate

7 weeks

7 modules

Machine Learning for Financial Data

Apply supervised and unsupervised machine learning to financial datasets using feature engineering, purged cross-validation and disciplined, leakage-aware evaluation.

Proposed fee$899

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Advanced

8 weeks

8 modules

Deep Learning for Financial Time Series

Build and evaluate deep learning models for financial time series in PyTorch, from recurrent networks to temporal convolutions and transformers, with rigorous validation.

Proposed fee$1,199

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Intermediate

7 weeks

7 modules

NLP & Financial News Intelligence

Turn financial news, filings and transcripts into structured research signals using text processing, embeddings, transformer models and careful event-time alignment.

Proposed fee$999

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Advanced

10 weeks

10 modules

AI Agent Engineering for Financial Research

Engineer LLM-based research agents that retrieve documents, call analytical tools and produce traceable financial research outputs with evaluation and guardrails built in.

Proposed fee$1,499

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Intermediate

6 weeks

6 modules

Mathematics for Quantitative Finance

Build the core mathematics behind quantitative finance, including calculus, linear algebra, optimization and an introduction to stochastic processes, with Python exercises.

Proposed fee$599

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Intermediate

6 weeks

6 modules

Statistics & Probability for Quants

Learn the probability and statistics used in quantitative research, from distributions and estimation to hypothesis testing, regression and resampling, applied to market data.

Proposed fee$699

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Intermediate

8 weeks

8 modules

Financial Time-Series Modeling

Model financial time series with stationarity tests, ARIMA, GARCH, cointegration and state-space methods, and evaluate forecasts with disciplined out-of-sample testing.

Proposed fee$999

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Advanced

8 weeks

8 modules

Factor Models & Quantitative Research

Research, construct and evaluate factor models using cross-sectional regressions, portfolio sorts and risk attribution, with careful handling of biases and multiple testing.

Proposed fee$1,199

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Advanced

10 weeks

10 modules

Advanced Quantitative Portfolio Modeling

Build professional portfolio models covering covariance estimation, robust optimization, risk budgeting, transaction costs and stress testing, implemented as tested Python code.

Proposed fee$1,499

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Beginner

4 weeks

4 modules

Global Derivatives Fundamentals

Learn how futures, forwards, options and swaps work, how they are priced at a basic level, and how their payoffs and risks differ across global markets.

Proposed fee$399

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Intermediate

6 weeks

6 modules

Options Pricing Models with Python

Implement binomial trees, Black-Scholes-Merton and Monte Carlo option pricers in Python, then test them against each other and against known analytical results.

Proposed fee$799

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Intermediate

6 weeks

6 modules

Options Greeks & Quantitative Risk

Compute, interpret and aggregate option Greeks in Python, and use scenario analysis and stress testing to understand how options portfolios respond to market moves.

Proposed fee$899

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Advanced

8 weeks

8 modules

Volatility Modeling & Derivatives Research

Model realized and implied volatility with GARCH, stochastic and local volatility approaches, build arbitrage-aware volatility surfaces, and run disciplined derivatives research.

Proposed fee$1,199

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Advanced

10 weeks

10 modules

Building Professional Options Analytics Software

Design and build production-grade options analytics software: a pricing and risk library, surface services, APIs, persistence, testing and a web front end.

Proposed fee$1,499

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Intermediate

5 weeks

5 modules

Financial Data Engineering Foundations

Learn the foundations of financial data engineering: data types, schemas, SQL, ingestion, cleaning, corporate actions and reliable batch pipelines in Python.

Proposed fee$599

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Intermediate

7 weeks

7 modules

Building Market Data Pipelines

Build batch and streaming market data pipelines in Python with Kafka, PostgreSQL and Parquet, covering normalization, bar aggregation, quality checks and replay.

Proposed fee$899

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Intermediate

7 weeks

7 modules

Financial News & Sentiment Data Engineering

Engineer pipelines that collect, clean, deduplicate, tag and score financial news and text data, producing point-in-time sentiment datasets suitable for research.

Proposed fee$999

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Advanced

8 weeks

8 modules

Macroeconomic Intelligence Platform Development

Build a macroeconomic data platform that ingests public economic series, tracks vintages and releases, computes indicators and serves dashboards and APIs.

Proposed fee$1,199

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Advanced

10 weeks

10 modules

Low-Latency Market Data System Architecture

Study and build low-latency market data systems: feed handlers, order book reconstruction, efficient serialization, lock-free design, measurement and resilient distribution.

Proposed fee$1,499

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Intermediate

5 weeks

5 modules

FinTech Software Engineering Fundamentals

Learn the engineering habits behind dependable financial software: precise money handling, clean Python projects, testing, version control and CI pipelines.

Proposed fee$599

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Intermediate

8 weeks

8 modules

React & Python Financial Applications

Build full-stack financial web apps with a FastAPI backend and a React and TypeScript frontend, from charts and tables to live data updates and deployment.

Proposed fee$999

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Advanced

8 weeks

8 modules

Financial Backend & API Architecture

Design reliable financial backends: ledger data models, idempotent APIs, event-driven processing with Kafka, security, observability and audit trails.

Proposed fee$1,199

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Advanced

9 weeks

9 modules

Cloud Infrastructure for Financial Systems

Run financial workloads in the cloud with containers, Kubernetes, infrastructure as code, secure networking, observability and tested disaster recovery plans.

Proposed fee$1,299

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Advanced

12 weeks

12 modules

Building an AI-Powered Financial Research SaaS

Design, build and operate a multi-tenant SaaS for AI-assisted financial research, with document retrieval, cited answers, evaluation, billing and secure deployment.

Proposed fee$1,799

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Advanced

10 weeks

10 modules

Quantitative Developer Professional Track

A professional track for quant developers: fast Python, market data structures, backtesting engine design, research infrastructure and production-ready simulated execution.

Proposed fee$1,499

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Advanced

10 weeks

10 modules

Advanced Financial Data Systems Engineering

Engineer large-scale financial data systems with point-in-time correctness, bitemporal storage, streaming pipelines, data quality controls and governed access.

Proposed fee$1,599

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Advanced

10 weeks

10 modules

AI Research Agent Architecture

Architect AI research agents for finance: tool use, memory, planning, grounded retrieval, evaluation, guardrails and production deployment with full audit logs.

Proposed fee$1,699

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Advanced

12 weeks

12 modules

Quantitative Research Capstone Program

Complete an end-to-end quantitative research project on historical data, from hypothesis and backtest to robustness testing, peer review and a reproducible write-up.

Proposed fee$1,999

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Advanced

12 weeks

12 modules

FinTech Systems Architecture Masterclass

Master end-to-end fintech architecture: ledgers, event sourcing, integrations, security, reliability, scalability, compliance-aware design and AI components.

Proposed fee$2,499

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Proposed launch pricing. Fees and durations shown are planning figures in USD and are not yet confirmed commercial offers. Final pricing, schedules and terms are confirmed before any payment is taken.

Flagship programs

Mentored professional programs

Structured, project-led tracks that combine several courses with live technical mentoring where included, code reviews and a capstone assessment.

Intermediate

12 weeks

7 modules

Quantzivo Professional Algo Developer

A 12-week program that takes you from Python market data work to building, backtesting, validating and engineering algorithmic strategies as tested software.

Proposed fee$2,499

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Advanced

16 weeks

8 modules

Quantzivo AI & Quant Researcher Program

A 16-week research program covering statistics, time-series models, machine learning, factor research and NLP, applied through rigorous validation on historical data.

Proposed fee$3,499

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Advanced

16 weeks

8 modules

Quantzivo FinTech Systems Engineer

A 16-week engineering program for building financial platforms end to end: backend APIs, React frontends, data pipelines, cloud infrastructure and systems architecture.

Proposed fee$3,999

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Advanced

20-24 weeks

8 modules

Quantzivo Executive Quant Technology Program

A 20-24 week program for leaders overseeing quant technology: research methodology, data strategy, AI adoption, systems architecture, controls and team building.

Proposed fee$5,999

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How pricing works

Four tiers, one standard of quality

Every course sits in a tier that reflects its depth and delivery. Teams and institutions can also book enterprise training.

Enterprise training

Tier	Proposed price range (USD)	Delivery	Best for
Foundation courses	$149-$399	Self-paced	Market and programming foundations
Specialist courses	$499-$999	Applied technical skills	Hands-on Python, data, strategy and AI skills
Professional certificates	$1,499-$2,999	Structured programs	Deep, project-led professional tracks
Elite bootcamps	$3,499-$5,999	Live mentorship and projects	Flagship cohorts with mentoring and capstones

How courses work

Learn it, code it, prove it

Every course follows the same rhythm, so once you have taken one you know exactly how the next will run.

Focused lessons

Short lessons that explain one concept at a time, with worked examples on historical market data.

Hands-on exercises

Coding and analysis exercises in notebooks, many with automated checks so you get feedback quickly.

Practical projects

Each course includes projects such as data loaders, backtest reports and research memos that you keep.

Assessments

Module quizzes and project reviews against clear rubrics confirm you can apply what you learned.

Instructor support

When a course runs as a cohort, live Q&A sessions, workshops and code reviews are added.

Certificate of completion

Finish the lessons and pass the assessed projects to earn a Quantzivo certificate of completion.

Inside a course

Code-first, risk-aware and honest about limits

Courses teach the method behind a result, not just the result. You will see why a strategy looks good on paper, and why it often stops looking good once costs, slippage and out-of-sample data are included.

Python, pandas and NumPy used throughout
Transaction costs, drawdowns and overfitting covered explicitly
Projects documented so you can explain your decisions

About certificates: Quantzivo certificates recognize course completion. They are not professional licenses, degrees or regulatory qualifications.

Not sure where to start?

Pick the starting point that matches you

Or let a learning path sequence the courses for a specific goal.

New to markets

Start with how instruments, order books and risk work before writing any code.

Know markets, not code

Learn Python and pandas on the market data you already understand.

Already coding in Python

Go straight to designing rule-based strategies and realistic backtests.

Have a career goal

Follow a structured path toward research, engineering or data roles.

Course FAQs

Choosing and taking a course

All FAQs

No. Each course lists its prerequisites, and equivalent experience counts. If you already write Python with pandas, for example, you can start with Algorithmic Trading with Python.

Courses are structured around self-paced lessons, with instructor support added when they run as cohorts. Bootcamps are intensive, instructor-led programs built around a shared project and regular code reviews.

No. A certificate of completion shows you finished a course and its assessed projects. It is not a professional license, degree or regulatory qualification.

No. Courses use historical data, backtests and simulated portfolios. Nothing in a course is investment advice, and no course promises trading profits.

Pricing will be confirmed when enrollment opens. See Academy pricing for the current planning view, or register your interest to be notified.

Course enrollment

Found a course that fits?

Register your interest and tell us which courses you are considering. We will share formats, schedules and pricing as enrollment opens.

Explore learning paths

Explore 50 Courses Across Ten Disciplines

Course catalog

Mentored professional programs

Four tiers, one standard of quality

Learn it, code it, prove it

Focused lessons

Hands-on exercises

Practical projects

Assessments

Instructor support

Certificate of completion

Code-first, risk-aware and honest about limits

Pick the starting point that matches you

New to markets

Know markets, not code

Already coding in Python

Have a career goal

Choosing and taking a course

1. Do I have to take the courses in order?

2. What is the difference between a course and a bootcamp?

3. Is the certificate a professional qualification?

4. Will I trade with real money during a course?

5. How much do courses cost?

Found a course that fits?