Learn Programming Skills

Learn to code in multiple languages used by AI data analysts by working one-on-one with an experienced instructor. We'll explain how you can use each language and then work with you to help build a real-world project in that language.

Build Real-World Projects

After every week of class, you'll implement your learnings into a real-world project using open-source data. This allows you to gain work experience while also enhancing your ability to retain what you've learned.

Master AI-Driven Data Analytics

You’ll explore prompt engineering, Retrieval-Augmented Generation (RAG), GPT API integration, and more. From automating insights in Power BI to building AI agents in Python, you’ll graduate with in-demand skills employers seek.

Get Jobs and Network

We'll help you build a resume, demonstrate your coding projects on GitHub, and assist you in networking with tens of experienced data analysts. You'll be job-ready by learning skills, building projects, and expanding your network.

Learn for 6 Months. Practice & Land Interviews in the Next 6.

Join our program for just $465 per month for 12 months. The first 6 months are dedicated to mastering the technical skills through daily 1-on-1 sessions with your tutor. In the next 6 months, we shift into career coaching and networking, helping you build a strong portfolio, connect with mentors, and prepare for interviews through daily support. If you don’t land a job paying at least $50,000 a year (or earn a $10,000 salary increase), we’ll refund you $1,000.

AI Data Analytics Training Content

• Python Foundations: Variables, Control Flow & Functions

• Object-Oriented Programming (OOP) for Scalable AI Projects

• SQL for Data Extraction, Querying & Dynamic Analysis

• Pandas for Data Manipulation & Cleaning

• Data Visualization with Matplotlib, Seaborn & Plotly

• Introduction to Prompt Engineering & AI Interactions

• Advanced Prompting Strategies & Optimization Techniques

• Using OpenAI API for Data Analysis & Automation

• Supervised Learning: Regression & Classification Models

• AI-Powered Applications with GPT for Real Use Cases

• Retrieval-Augmented Generation (RAG) Concepts & Applications

• Building RAG Workflows for Knowledge-Driven Analytics

• Fine-Tuning & Optimizing AI Models for Performance

• AI Agents & Autonomous Workflows (Task Automation)

• Integrating GPT with SQL, BI Tools & Dashboards (Power BI, Tableau)

• Intermediate Python: Data Pipelines, Error Handling & Modules

• Working with APIs & Web Scraping for Real-Time Data Sources

• Data Wrangling & Feature Engineering for ML Models

• Exploratory Data Analysis (EDA) & Statistical Insights

• Unsupervised Learning: Clustering & Dimensionality Reduction

• Introduction to Prompt Engineering & Context Engineering

• GPT for Predictive Analytics, Reporting & Decision Support

• Advanced Prompt Techniques & Few-Shot Prompting

• OpenAI API Integration in Business & Data Workflows

• RAG Systems: Architecture, Vector Databases & Embeddings

• Optimizing RAG for Complex, Real-World Enterprise Use

• AI Agents & Multi-Step Task Orchestration

• End-to-End AI-Powered Application Development

• Deploying AI & Data Apps with Streamlit, Flask or FastAPI

• Career Projects: Capstone Portfolio, Resume Positioning & Interview Prep

You’ll cover some of these topics during your sessions, and your tutor will tailor the learning path specifically to your background, pace, and career goals.

1-on-1 Teaching Ensures Student Success

Since two-thirds of our revenue comes from students earning high salaries, we’re deeply invested in their success. That’s why every student gets quality one-on-one tutoring. Hear what our students have to say about the difference it makes.