New Program

AI Engineer Foundations

Build real AI systems, not just watch tutorials. A structured program for aspiring AI engineers.

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Who this is for

Three types of learners who benefit most from this program.

Beginner Coder

You can do basic Python but want to pivot into AI.

University Student

You want employable AI skills beyond what courses teach.

Developer

You want to add ML/LLM skills to your toolkit.

What you'll achieve

Measurable outcomes, not vague promises.

Build and deploy 2-4 portfolio projects

Understand data pipelines and processing

Master prompt engineering and evaluation

Build RAG applications with vector databases

Deploy models and applications

Prepare for AI engineering roles

Curriculum

A structured 12-week program covering essential AI engineering skills.

Module 1

Python for AI

Python fundamentals optimized for AI/ML work. NumPy, data handling, APIs.

2-3 weeks

Module 2

Data Handling

Pandas, data cleaning, feature engineering, visualization.

2-3 weeks

Module 3

ML Fundamentals

Scikit-learn, classification, regression, model evaluation.

2-3 weeks

Module 4

LLM Applications

OpenAI API, prompt engineering, RAG, vector databases.

2-3 weeks

Module 5

Deploy & Portfolio

FastAPI, deployment, documentation, portfolio presentation.

2-3 weeks

Portfolio Projects

Real projects you'll build and deploy for your portfolio.

Resume Q&A Bot

RAG application that answers questions about documents

Tech:OpenAI, LangChain, vector DB

Customer Support Classifier

ML model that categorizes support tickets

Tech:Scikit-learn, FastAPI

Time Series Forecasting

Predict trends from historical data

Tech:Pandas, ML models

Agent Workflow

Simple autonomous agent for defined tasks

Tech:OpenAI, LangChain

How coaching works

Weekly Sessions

1 hour per week of live instruction and project work.

Homework & Practice

Structured exercises between sessions with feedback.

Project Support

Ongoing help via email as you build your portfolio.

Pricing

Monthly

Flexible month-to-month enrollment

$320 / month

4 sessions per month
Full curriculum access
Email support
Cancel anytime

Start Monthly

Best Value

3-Month Cohort

Full program commitment with savings

$850 / 3 months

Save $110

12 sessions total
Full curriculum
Priority support
Project reviews
Certificate of completion

Join Cohort

FAQ

Do I need to know calculus or statistics?

No heavy math required. We cover the intuition behind ML concepts without deep mathematical proofs. If you can understand basic arithmetic and logical thinking, you can learn this.

Is this just prompt engineering?

No. Prompt engineering is one skill we cover, but the program focuses on building complete systems: data pipelines, ML models, APIs, deployment, and integration. You'll be an engineer, not just a prompter.

Is there a job guarantee?

No guarantees—anyone promising that is overselling. What I can guarantee: you'll have real projects, practical skills, and a portfolio that demonstrates competence to employers.

What if I fall behind?

We go at your pace. The timeline is a guide, not a deadline. Extra sessions can be added if needed. The goal is competence, not speed.

Can I join if I'm working full-time?

Yes. The program requires about 5-10 hours per week total (including practice). Evening and weekend sessions available.

What happens after the program?

You'll have portfolio projects and skills. For ongoing support, you can continue with regular tutoring sessions or work independently.

Quick definitions

AI Engineering

Building practical AI systems that solve real problems, not just training models. Includes data handling, APIs, deployment, and integration.

RAG

Retrieval-Augmented Generation. A technique for making LLMs answer questions about your specific documents/data.

LLM

Large Language Model. AI models like GPT-4 that understand and generate text. You'll learn to build applications with them.

Ready to become an AI Engineer?

Apply now to start building real AI systems.

Apply Now Have Questions?