Module 0: Introduction to Full Stack Data Science & AI Engineering Course

Welcome to Journeyman AI: Full Stack Data Science and AI Engineering Course

Are you ready to take your coding and data science skills to the next level? This course is specifically designed for individuals with some experience in coding or data science who are eager to deepen their expertise and make a significant impact in the AI and data science fields.

What You’ll Learn:

Data Science Fundamentals: Master the essentials, including data collection, cleaning, exploratory data analysis (EDA), and foundational machine learning algorithms. Learn how to manipulate data using Python, SQL, and key data visualization tools.

Software Engineering for Data Science: Develop production-ready models using best practices in software engineering, version control with Git, and deployment using FastAPI and AWS.

Applied Machine Learning: Apply advanced machine learning techniques in real-world business contexts, focusing on designing scalable systems that deliver tangible business value.

Modern AI Tools and Frameworks: Gain hands-on experience with the latest AI tools, such as LangChain and Chainlit, and learn how to integrate them into data science workflows for cutting-edge applications.

Applied Statistical Foundations: Deepen your understanding of statistical methods, including probability, Bayesian inference, and time series analysis, to drive data-driven decision-making.

Business Acumen and Leadership: Enhance your ability to align technical work with business objectives, communicate effectively with stakeholders, and lead data science initiatives within your organization.

Capstone Project: Showcase your skills in a comprehensive, portfolio-ready project that tackles real-world data science challenges from start to finish.

Career Preparation: Build a standout portfolio, optimize your resume and LinkedIn profile, and prepare for technical interviews to position yourself as a top candidate in the job market.

Target Audience:
This course is ideal for professionals with at least some coding or data science experience who are looking to advance their careers, expand their skill set, and gain a comprehensive understanding of full-stack data science and AI engineering.