AI & Machine Learning: Finance Pathway - Electric Sheep
Electric Sheep Africa SML • Professional Diploma
₦300,000 • 12 WEEKS
Finance Pathway

Master ML for Finance & Fintech in 12 Weeks

Build algorithmic trading systems, fraud detection models, credit risk algorithms. The only ML programme in Nigeria designed specifically for finance professionals. Limited to 30 students per cohort.

12 Weeks
24 Live Sessions
30 Max Students
8+ Projects
Applications Close in 30 Days Only 30 spots available for this cohort. Next intake: April. First-come, first-served.

Why This Programme Works

This isn't another online course. It's an intensive, career-transforming bootcamp for professionals who refuse to be left behind.

Trading

Algorithmic Strategies

Build trading algorithms using real market data. Backtesting, risk management, execution frameworks.

Security

Fraud Detection

Anomaly detection and transaction monitoring systems banks and fintechs actually deploy.

Credit

Risk Modeling

Predict loan defaults, assess creditworthiness, build models that comply with regulations.

Data

Real Financial Datasets

Nigerian Stock Exchange data, transaction datasets, real banking scenarios. Not toy examples.

Portfolio

Optimization Techniques

Asset allocation, risk management, automated investment strategies using modern ML.

Career

Fintech Fast-Track

Direct path to ML roles in banks, fintechs, investment firms. Hiring partners waiting.

24-Week Curriculum

Every week builds on the last. By Week 8, you'll have built production ML systems.

Week 1

Python for Finance

Master Python, pandas, NumPy for financial data. Stock prices, returns, volatility from day one.

Week 2

Financial Data Analysis

EDA for financial datasets, technical indicators, correlation analysis, portfolio statistics.

Week 3

Supervised Learning

Predictive models for stock movements, credit defaults, customer churn in banking.

Week 4

Algorithmic Trading

Time series forecasting, momentum strategies, backtesting frameworks, risk management.

Week 5

Fraud Detection

Anomaly detection, handling imbalanced data, real-time transaction monitoring systems.

Week 6

Credit Risk Modeling

Credit scoring models, loan default prediction, regulatory compliance (Basel, IFRS 9).

Week 7

Portfolio Optimization

Modern portfolio theory, asset allocation, sentiment analysis from financial news.

Week 8

Financial ML System

Trading bot, fraud detector, credit scorer, or robo-advisor. Ship something that works.

Graduate Outcomes

Our graduates build ML systems at leading companies across Africa.

"I went from zero ML knowledge to building a fraud detection system that my company deployed. Best investment in my career."

Chidi O. ML Engineer

"Small cohort meant I got my questions answered. Instructors know their stuff and care about your success."

Amara N. Data Scientist, [Fintech]

"This was intense. But that's exactly what I needed. 8 weeks of focused work beats 6 months of scattered YouTube videos."

Ibrahim A. Software Engineer to ML Engineer
Best Value • Limited Spots
₦300,000 12-Week Intensive Programme
✓ 24 live sessions with expert instructors
✓ Personal mentorship and code reviews
✓ 8+ portfolio-worthy projects
✓ Dual certification (Electric Sheep + AUST)
✓ Lifetime access to materials
✓ Career support and job referrals
✓ Alumni network access
Secure Your Spot
Quality Guarantee

If you attend all sessions and complete the work but don't feel you've gained practical ML skills, we'll work with you until you do.

Common Questions

Do I need prior ML experience? +
No ML experience required. You need basic programming knowledge (any language) and comfort learning quickly. We teach everything from fundamentals to advanced techniques.
How much time per week? +
Expect 12-15 hours weekly: 4 hours live sessions, 8-11 hours for assignments and projects. This is intensive—treat it like a part-time commitment.
What if I miss a live session? +
All sessions recorded and posted within 24 hours. Live attendance strongly encouraged for real-time Q&A and collaboration.
Will this help me get a job? +
Programme gives you skills and portfolio employers want. We provide career support (resume reviews, LinkedIn optimization, referrals). Landing a job depends on your effort applying what you learn.
What's the refund policy? +
Full refund within first week. After that, no refunds—we invest heavily in your cohort and cannot replace you mid-course.

Ready to Transform Your Career?

Applications for Cohort 3 close in 30 days. Only 30 spots available.

Apply Now

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