Cohort 8 starts January 26th
$1,999 • Promo Applied
Become a Generative AI Data Scientist in 8 Weeks (Live, in Python)
8 Projects • 8-Weeks • For Data Scientists
For data scientists, data analysts, and data engineers who want to build and deploy AI-powered data science apps.
CLICK BELOW TO WATCH the LATEST genai workshop
Why trust Matt? 7,500+ students, real career outcomes.
For 8 years, I’ve run Business Science and taught over 7,500 students how to build practical data and AI systems. Many have used these skills to land data science and generative AI roles, earn promotions, and increase job security by shipping real projects.
7,500+ students trained across 8 years at Business Science
Students report outcomes like promotions, AI/GenAI job offers, and paid client projects
You’ll leave with portfolio-ready projects you can show at work or in interviews
Trusted by teams at:
What becomes possible after you become a GenAI Data Scientist
These are real messages from students after applying what they built in the program:
Promotion (ML Manager)
"I have officially been promoted to manager of the ML team. We are focused on AI/ML projects."
- Amit
Client Proof-of-Concept
"The class is already paying off. I made a Proof-Of-Concept for a client, and they love it!"
- Edward
$10,000 Project Sold
"I recently sold a $10,000 AI/ML project. Thanks Matt for your training!"
- Masatoshi
Job Offer (Report Developer)
"I just received a job offer as a Report Developer! My new AI Focus made me stand out from 100s of other candidates."
- Kofi
Promotion (Lead Data Scientist)
"I have recently been promoted to Lead Data Scientist! The Gen AI Bootcamp put me in a unique position to get the promotion."
- Nils
New Role (AI/ML Developer)
"I got another promotion! I'm now the AI/ML Developer. Your course helped me get recognition from management."
- Brian
Job Offer (AI Engineer)
"I just landed a role as AI Engineer. The interviewers were impressed with the project I learned in Clinic 1. I couldn't have done it without your help!"
- Lannon
Lead GenAI Engineer + 20% Raise
"I got an amazing job offer as a Lead Generative AI Engineer. Your Gen AI Bootcamp gave me an edge far above every other candidate. To top it off, I got a 20% pay raise."
- Heinrich
Implementation pack
Enroll Today and Get the GenAI Bootcamp + Implementation Pack (so you actually ship).
Most people don’t struggle because they aren’t capable — they struggle because they get stuck, fall behind, or don’t know what to build next.
That’s why enrollment includes the Implementation Pack, designed to remove the most common blockers so you can keep moving and actually ship.
AI / ML Fast Track On-Ramp Pack — Get up to speed fast with the AI Fast Track Course + Python for Data Science Automation + Python for ML & APIs
(So you don’t fall behind or feel “not ready”)
Agent Starter Kit Vault — Start from proven foundations with 10 AI agent starter repos, so you’re never building from scratch
(Solves the "blank-page" problem)
AI Project Data Pack — Build with 10 real-world AI data sets so your projects feel realistic and portfolio-ready
(No “toy project” problem)
Private Slack Support Channel — Ask questions, get feedback, and get unblocked fast so you keep moving week-to-week
(You’re never learning alone)
Portfolio + Certification Pack — Turn your projects into career-ready proof with our Certification Program and guidance
(Proof you can ship — not just learn)
✔ Private Slack support (get unblocked fast)
✔ Certification & portfolio guidance
✔ Templates + real-world data included
Schedule of Live Events
Cohort 8 starts January 26th
Live, instructor-led clinics designed to fit into a busy schedule.
Each session focuses on building one concrete capability, with replays available if you can’t attend live.
Time Commitment
🔹 You do not need to attend every session live to succeed.
Time Commitment:
⏱️ Live sessions: ~2–3 hours per week
🎥 Replays available for every session
🧱 Designed for professionals with full-time jobs
You do not need to attend every session live to succeed.
Cohort 8 Clinic Schedule
🔹 Quick Overview of Your Schedule — Dates, Times, and Duration (Hours)
Weekly Builder Breakdown
🔹 Each week builds directly on the last — no random topics.
Week 1 — Build a Retrieval-Augmented Generation (RAG) Copilot
Query private documents with grounded AI responses
Week 2 — Build a Predictive BI Agent (SQL + Pandas + ML)
Ask business questions in plain English and get real answers
Week 3 — Build a Multi-Agent Marketing Analytics Team
Agents collaborate to analyze campaigns and insights
Week 4 — Build a Forecasting Team with Tool-Calling Agents
Agents route tasks and execute forecasting workflows
Week 5 — Deploy an LLM Agent with AWS Bedrock
Move from local development to production-ready deployment
Week 6 — Fine-Tune LLMs + Build Cloud RAG Agents
Customize models and scale intelligent retrieval systems
Week 7 — Deploy a Full AI Application to the Cloud
Secure, scalable AI apps using AWS services
Week 8 — Deploy an MCP Server (Advanced Integration)
Production-grade orchestration and extensibility
Tools & Techniques You’ll Use
(Applied — Not Theory)
🔹 You don’t need prior AWS or LLM deployment experience — it’s taught step-by-step.
Core AI Tools
Retrieval-Augmented Generation (RAG)
Vector Databases
LLM Fine-Tuning
AI Workflow Routing & DAGs
Agent Systems
Python AI Agents (LangChain)
Multi-Agent Systems (LangGraph)
Tool Calling & Code Execution
Production & Deployment
AI Application Deployment
AWS Bedrock
AWS EC2 & Cloud Services
Here’s What You’ll Build — Clinic by Clinic
Each live clinic is focused on building one production-ready capability you can reuse at work, in your portfolio, or for client projects.
Live Clinic #1:
Build a RAG Product Expert Copilot
What you build:
A Retrieval-Augmented Generation (RAG) AI Copilot that answers questions using your own documents.
You’ll learn how to:
Architect real RAG systems (not toy demos)
Ingest and index company documents
Build contextual + conversational memory
Use vector databases and embeddings correctly
You leave with:
A working RAG application you can adapt to internal docs, client knowledge bases, or product support.
Live Clinic #2:
Build a Predictive Business Intelligence Agent
You’ll learn how to:
An AI agent that answers business questions using SQL, Pandas, and machine learning.
You’ll learn how to:
Translate natural language → SQL
Combine structured data with AI reasoning
Generate forecasts and insights automatically
You leave with:
A BI agent that replaces manual dashboards and ad-hoc analysis.
Live Clinic #3:
Build a Multi-Agent Marketing Analytics Team
What you build:
A team of AI agents that collaborate to analyze campaigns, funnels, and performance.
You’ll learn how to:
Design multi-agent workflows
Route tasks between specialized agents
Coordinate analysis and reporting
You leave with:
A reusable multi-agent analytics system you can adapt to other domains.
Live Clinic #4:
Build a Forecasting Team with Tool-Calling Agents
What you build:
A forecasting system where agents call tools, run models, and coordinate outputs.
You’ll learn how to:
Use tool-calling with agents
Build DAG-style workflows
Orchestrate complex AI pipelines
You leave with:
An agentic forecasting framework for real business use.
Live Clinic #5:
Deploy an LLM Application with AWS Bedrock
What you build:
A production-ready application that uses AWS Bedrock LLMs.
You’ll learn how to:
Navigate AWS and AWS Bedrock
Deploy models securely
Manage credentials and access
Move from local → cloud deployment
You leave with:
An AI application running with AWS Bedrock LLM
Live Clinic #6:
Fine-Tune LLMs & Build Cloud RAG Agents
What you build:
A customized LLM enhanced with fine-tuning and cloud-based RAG.
You’ll learn how to:
Fine-tune LLMs for domain specificity
Create RAG Cloud Agents
Scale AI systems reliably
What you build:
A tailored AI agent tuned for your company's proprietary data and use-case.
Live Clinic #7:
Deploy a Full AI Application (AWS Cloud)
What you build:
A complete AI application deployed end-to-end.
You’ll learn how to:
Deploy applications
Handle app configuration and environments
Think like a production AI engineer
You leave with:
A real cloud-hosted AI app you can demo confidently.
Live Clinic #8:
Deploy MCP Servers (Advanced Integration)
What you build:
An MCP server enabling extensibility, orchestration, and integration.
You’ll learn how to:
Create MCP servers
Deploy MCP servers with Cloud
Enable tool-based AI integrations
Extend AI systems cleanly
You leave with:
An advanced production architecture used in real AI systems.
Everything You Build Is Backed by the Implementation Pack
The clinics show you what to build. The Implementation Pack makes sure you can keep up, stay unblocked, and finish with real, working systems.
This program is designed for professionals with full-time jobs. That’s why every clinic is supported by the Implementation Pack — a set of resources that remove the most common reasons people stall or drop off, even when life gets busy.
Included with enrollment. No separate purchase required.
🧭 Get Oriented Fast
AI / ML Fast Track On-Ramp (3 Included On-Ramp Courses)
Targeted refreshers for Python, machine learning, and the AI workflows used throughout the program — so you don’t fall behind at the start.
🧱 Never Start from a Blank Page
Agent Starter Kit Vault (10 Agent Templates)
Each clinic builds on proven starter repos and templates, so you’re always extending something real — not wiring everything from scratch.
📊 Work With Realistic Data
AI Project Data Pack (10 Real-World Data Sets)
Build with real-world datasets so your projects feel credible and portfolio-ready — not toy examples.
💬 Get Unblocked When You’re Stuck
Private Slack Support Channel
Ask questions, share progress, and get feedback so you can keep moving week-to-week instead of stalling.
🎓 Turn Work Into Proof
Portfolio + Certification Pack
Clear guidance on how to package your projects as career-ready proof — showing you can ship, not just learn.
☁️ Deployment Is Covered in the Live Clinics
Deployment is taught directly inside the live clinics (AWS Bedrock 1 & 2, App & Cloud Deployment, MCP Servers).
The Implementation Pack exists to remove the other blockers that prevent most people from finishing.
Designed for professionals with full-time jobs.
At this point, you’ve seen what you’ll build — and the system designed to help you finish it.
🎓 Generative AI Bootcamp
8 weeks • Live clinics • Python-based • Limited seats
Tuition: $2,499
Includes all live clinics, the full Implementation Pack, private Slack support, and certification.
Your enrollment includes:
8 live, instructor-led GenAI clinics (RAG, agents, deployment, fine-tuning)
The complete Implementation Pack (on-ramp, templates, data, Slack support, certification)
Replays for every session
Private Slack community for questions and feedback
8 portfolio-ready projects you can reuse at work or in interviews
Everything is included. No add-ons. No upsells.
Cohort Size & Enrollment Timing
Cohort size is limited to 50 active participants to preserve live support quality and meaningful interaction.
If the current cohort reaches capacity, new enrollments are automatically placed into the next live cohort, which begins the following quarter.
You’ll still receive immediate access to all materials and resources.
Cohort Transfer Guarantee
You may transfer to a future cohort one time if you’re unable to attend your assigned cohort.
Refund Policy
Because this is a live, cohort-based program with limited seats and upfront preparation, all enrollments are final.
The Cohort Transfer Guarantee exists to reduce risk while preserving the integrity of the program.
✔ Designed for professionals with full-time jobs
✔ Replays included for every session
✔ Private Slack support included
Enroll in the 8-Week Generative AI Bootcamp
Cohort 8 starts January 26th
Enrollment is limited TO 50 SEATS to preserve live support quality.
Tuition: $2,499 $1,999
USE PROMO CODE AT CHECKOUT: 500OFFAIBOOTCAMP
Promo code will be automatically applied at checkout.
Enroll Here:
Tuition: $2,499 $1,999
PROMO CODE APPLIED: 500OFFAIBOOTCAMP
Cohort 8 starts January 26th
Address is used for billing verification only.
✔ One-time Cohort Transfer Guarantee
✔ Private Slack support included
✔ Replays available for every session
"I got a job offer and a 20% raise."
"I got an amazing job offer as a Lead Generative AI Engineer. Your Gen AI Bootcamp gave me an edge far above every other candidate. To top it off, I got a 20% pay raise." - Heinrich
Frequently Asked Questions (FAQs)
Here are the top questions students asked before they joined the program.
1) I won't be able to attend some of the live clinics. What happens then?
All live sessions are recorded and posted to your cohort area. You’ll have access to the recordings, code, and resources so you can follow along on your schedule. You can also ask questions in the private Slack channel if you get stuck.
2) I have limited knowledge of Python. Is this OK to participate in the course?
Yes — many students join with limited Python experience. We start with a kickoff + on-ramp path so you know exactly what to review and how to keep up.
That said, this is a build-heavy program. If you can write basic Python (functions, loops, working with dataframes), you’ll be in great shape — and you’ll improve fast.
3) What is the schedule for the live clinics?
Cohort schedules are finalized each quarter and may include breaks around holidays.
In general:
- Kickoff: Monday at 12:00 PM ET
- Clinics: Fridays at 12:00 PM ET
Your cohort’s exact schedule is announced the week of kickoff.
4) What is the duration of each clinic?
Most clinics run ~1.5 to 2.5 hours.
5) How long will I have access to all the course materials
You get lifetime access to the program materials, recordings, code, and resources for the cohort you enroll in.
AI Bootcamp PLUS is available at checkout for students who want access to future cohort updates.
6) Is the code you provide with Bootcamp free for me to use and modify however I want?
Yes — you can run, modify, and use the code for:
- your portfolio (private repo is recommended)
- internal work projects
- client work
What’s not allowed: publishing or redistributing the full source code publicly (e.g., posting the repo publicly).
We show you how to create public-facing portfolio demos without exposing proprietary source code during the deployment clinic.
7) Can you provide an invoice?
Yes — we can provide invoices and receipts. Email Haley at hdancho@business-science.io and she’ll help you.
8) When is the next bootcamp?
We run the Generative AI Bootcamp once per quarter (4 times per year).
If the current cohort reaches capacity, new enrollments are placed into the next cohort automatically.
9) What is the refund policy?
This is a seat-based cohort program with limited capacity to preserve support quality, so enrollments are final.
Cohort Transfer Guarantee: If you can’t attend your assigned cohort, you may transfer one time to a future cohort.
10) What are the time commitments for this program?
The program is designed for professionals with full-time jobs.
- Live time: ~2–3 hours/week (Kickoff + weekly clinic)
- Optional practice: ~2–4 hours/week (challenges and build time)
Minimum commitment: ~2 hours/week (watch the session + follow along)
Typical commitment: ~4–6 hours/week (to complete the optional challenges)
Replays are available for every session so you can stay on track even if you miss live.
11) Do I need AWS or Bedrock experience?
No. We teach deployment step-by-step inside the program. You can start locally, and then follow the guided deployment path during the AWS clinics.
12) Will I have to pay for AWS during the program?
You can follow along locally for much of the program. When we deploy, most students can complete the exercises with minimal AWS costs. We’ll also share cost-control tips and how to avoid surprise bills.
13) Can my company pay / can I use this for training reimbursement?
Yes — we can provide invoices/receipts and most students use this for professional development reimbursement. If you need specific documentation, email Haley at hdancho@business-science.io.
14) What’s the difference between AI Bootcamp and AI Bootcamp PLUS?
AI Bootcamp includes lifetime access to your cohort materials and a one-time cohort transfer option.
AI Bootcamp PLUS is for students who want maximum flexibility: unlimited cohort transfers and access to future cohort updates. (Available at checkout.)
Ready to Build and Deploy Real GenAI Systems?
You’ve seen what you’ll build, how the program works, and the support system behind it.
If you’re ready to invest in skills you can actually use at work, enrollment is open now.
Cohort 8 starts January 26th • Limited to 50 seats
(Bonus #3 For The First 10 People)
Python For Data Science Automation
Bonus #1: Python For Data Science Automation
Transition repetitive business processes to Python automation workflows.
Project Flow for Python Course 1
Python 1 Comes With 10 Modules:
Module 0: Project, Environment, and VSCode Setup
Module 1: Jumpstart (Sales Analysis)
Module 2: Working with SQL Databases
Module 3: Pandas Deep-Dive (3+ Hours Training)
Module 4: Exploratory Analysis & Time Series Basics
Module 5: Functional Programming in Python
Module 6: Building ARIMA Time Series Models with Sktime
Module 7: Data Visualization Deep-Dive (3+ Hours Training with Plotnine)
Module 8: Writing An Analysis To SQL Databases
Module 9: Automated Sales Reporting with Jupyter + Papermill
Module 10: Task Scheduling in Windows & MacOS
Here Are Some Screenshots From Within The Course
Learn how to set up VSCode
Analyze sales trends
Perform a full Sales Analysis in just the first 45 minutes.
Learn how to read and write from SQL databases.
Convert SQL database tools into repeatable Python data collection functions.
Create your very own python module (so you can use your custom functions throughout the project)
Take a 3-hour deep-dive into the Pandas Library.
Learn about Pandas objects, classes, and methods.
Learn common pandas techniques like…
Row-wise filtering
Column Operations
Pivoting
Group By and Apply
Make an Exploratory Data Analysis Report (and identify data issues)
Grouped Time Series Resampling
Outlier Detection
Make a Custom "Summarize By Time" Function
Learn forecasting basics with sktime
Automate an ARIMA Forecasting Function
Learn 8 Types of Data Visualizations in the Deep Dive...
Scatter Plot
Line Plot
Bar Plot With Smoother
Horizontal Bar Plot
Density & Histograms
Box Plots
Put Your Analysis Into A Jupyter Report
Automate The Reporting With Papermill
Task Schedule to Run Reports Each Day, Week, Month, or at a Custom Time Automatically
Windows Task Scheduler
Mac Automator
What Can This Course Do For You?
This is what just the first Python course in the program did for Jeremy...
How Jeremy got his 💰 6-Figure Senior Data Scientist Position:
Jeremy says...
"Your Python Course allowed me to gain the confidence in my everyday work."
"I've never felt comfortable in Python until now."
"I couldn't have done it this quickly without your courses."
"Thank you for your constant support and incredible material!"
"I've been using Python in production for 4 months, and I was headhunted for a new role."
"Starting the first week of December, I'll be a Senior Data Scientist [$150,000+ Position]"
(Bonus #4 First 10 People)
Python For Machine Learning & API's
The Ultimate Python Course For Building Production-Ready Business Solutions
Project Flow For Python Course II
This is the project you work through in Python For Machine Learning & API's.
This is a lead scoring problem for a multi-million dollar business and I'm going to show you how to solve the entire project yourself.
Here are some of the highlights of the course:
Avoid the mistake which causes 87% of data science projects fail.
Simulate the cost of the problem under different scenarios.
Discover how to provide a range for how much the problem is costing the organization.
How to connect tables to a sql database.
Create a full blown exploratory report in 1 line of code.
Discover how to gain insights to determine what increases the probability of customers making purchases.
Learn how to make special engineered features to help you clean, sort, and manage data.
Learn how to create association analysis reports to help your company discover new customer insights.
Discover the one key feature I use to determine a 2900% increase in purchase.
Use Pycaret to access 19 model algorithms including XGBoost, LightGBM and Catboost. (and then use Machine Learning with ALL 19 models.)
Discover how to tune models to stabilize predictions and increase performance.
Use my overlooked technique to select the right model for your analysis (And another method to find the most important features of your model.)
Find out WHY a model is predicting a customer to buy.
How to lead score customers based on probability of buying.
Discover how to create SciKit Learn Pipelines from scratch (plus how to tune them manually using GridSearch)
I have created a secret python code to make 100s of machine learning models in minutes (on top of that, I’ll also show you how to find the most accurate one.)
Learn how to log advanced models like H2O (and access the AutoML leader model).
How I created a monthly increase of $237,266 in new sales a month for a single company.
I show you the A-Z process for creating a stand alone app which allows ANYONE to use the algorithm you’ve created.
Here Are Some Screenshots From Within The Course
Avoid the mistake 90% of Data Science Teams Make
Perform Exploratory Data Analysis at the speed of light
Gain insights fast (and get quick wins for your company)
Increase your Classifier AUC 15% with these Feature Engineering Tips.
Enhance your Feature Engineering Skills to uncover more insights!
Use this hack to make 19 Scikit Learn Models in under 1 minute.
Automatically sort the models by performance with only 1 line of code.
Tune your models in 1 line of code.
Discover the most important features without introducing correlation bias.
Uncover why a customer is likely to buy.
Use this trick to build scikit learn pipelines faster
Build 100's of machine learning models in under 1 minute with this technique.
Pick the best model with this time-tested trick.
Uncover a super-power: logging in MLFlow!
Use H2O & MLFlow to build the ultimate Production-Ready Machine Learning Models.
Wow your company by sharing how your algorithm makes them $311,105 in sales every month.
Store your leader H2O Models in MLFlow and track the Machine Learning Lifecycle.
Make an App that let's your company's "non-techie" people access your business solution automatically. (And instantly become a leader in your organization)
Unlock the ultimate production tool: APIs
Make $3,600,000 in one year with your model! (and you'll likely get a promotion)
Empower non-techie people download their own Lead Scoring Strategies
Secure your API (without involving the IT Department)
Build robust APIs in under 5 minutes
Show you're a team player by incorporating your management's input into your analysis and making a "Balanced Plan"
Python For Machine Learning & API's Retails For $997
Get It Now + Python for Data Science Automation ($697)
For only $799
Here's Everything You're Getting Today:
Live Clinic #1: Retrieval Augmented Generation ($997 value)
Live Clinic #2: Business Intelligence AI Copilot ($997 value)
Live Clinic #3: Customer Analytics Team ($997 value)
Live Clinic #4: Time Series Forecasting Team ($997 value)
Live Clinic #5: LLM Model Deployment With AWS Bedrock ($997 value)
Live Clinic #6: Fine Tuning LLM Models ($997 value)
Live Clinic #7: AI Application Deployment With Streamlit + AWS Cloud ($997 value)
Bonus #1: Fast Track Course ($497 value)
Bonus #2: Kickoff Clinic + Local LLM Workshop ($997 Value)
Total Value = $8,473
Only $2,499
Get $500 OFF Today!
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