Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.

Facts checked 12 October 2026 against Dataquest’s official page ·

Sources ↗

· Next check November 2026

No accepted numeric price in this registry. See the sourced pricing details below.

See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.

What’s covered

Introduction to Python Programming
Python Dictionaries, APIs, and Functions
Intermediate Python for AI Engineering
Tooling Essentials for Python Users
AI Chatbots: Harnessing the Power of Large Language Models with Chandra
Prompting Large Language Models in Python
Tool Use with LLMs in Python
APIs for AI Applications
Building AI Apps with FastAPI
HuggingFace and Open Models
Introduction to Pandas and NumPy for Data Analysis
Introduction to Data Visualization in Python
Data Cleaning and Analysis in Python
Introduction to Statistics in Python
Intermediate Statistics in Python
Introduction to Probability in Python
Introduction to Conditional Probability in Python
Hypothesis Testing in Python
Introduction to Supervised Machine Learning in Python
Introduction to Unsupervised Machine Learning in Python
Calculus For Machine Learning
Linear Algebra For Machine Learning
Linear Regression Modeling in Python
Gradient Descent Modeling in Python
Logistic Regression Modeling in Python
Decision Tree and Random Forest Modeling in Python
Optimizing Machine Learning Models in Python
Deep Learning Applications in PyTorch
Understanding Embeddings
Vector Databases and Search
Introduction to Retrieval-Augmented Generation (RAG)
Evaluating LLM Outputs
Advanced RAG

Prerequisites: No prerequisite is listed for the path: the Dataquest plans page FAQ says "No prerequisites are required" and that its career paths start from the very basics; the path page labels it "Beginner friendly".

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What you actually do

Introduction to Python Programming : 4 hours; Part 1: Python Introduction, course 1 · Source
Python Dictionaries, APIs, and Functions : 6 hours; Part 1: Python Introduction, course 2 · Source
Intermediate Python for AI Engineering : 12 hours; Part 2: Intermediate Python, course 1 · Source
Tooling Essentials for Python Users : 6 hours; Part 2: Intermediate Python, course 2 · Source
AI Chatbots: Harnessing the Power of Large Language Models with Chandra : 2 hours; Part 3: LLM Fundamentals, course 1 · Source
Prompting Large Language Models in Python : 6 hours; Part 3: LLM Fundamentals, course 2 · Source
Tool Use with LLMs in Python : 8 hours; Part 3: LLM Fundamentals, course 3 · Source
APIs for AI Applications : 6 hours; Part 4: AI Application Development, course 1 · Source
Building AI Apps with FastAPI : 10 hours; Part 4: AI Application Development, course 2 · Source
HuggingFace and Open Models : 6 hours; Part 4: AI Application Development, course 3 · Source
Introduction to Pandas and NumPy for Data Analysis : 13 hours; Part 5: Data Analysis and Visualization, course 1 · Source
Introduction to Data Visualization in Python : 7 hours; Part 5: Data Analysis and Visualization, course 2 · Source
Data Cleaning and Analysis in Python : 11 hours; Part 5: Data Analysis and Visualization, course 3 · Source
Introduction to Statistics in Python : 8 hours; Part 6: Probability and Statistics, course 1 · Source
Intermediate Statistics in Python : 8 hours; Part 6: Probability and Statistics, course 2 · Source
Introduction to Probability in Python : 4 hours; Part 6: Probability and Statistics, course 3 · Source
Introduction to Conditional Probability in Python : 5 hours; Part 6: Probability and Statistics, course 4 · Source
Hypothesis Testing in Python : 3 hours; Part 6: Probability and Statistics, course 5 · Source
Introduction to Supervised Machine Learning in Python : 7 hours; Part 7: Machine Learning Foundations, course 1 · Source
Introduction to Unsupervised Machine Learning in Python : 5 hours; Part 7: Machine Learning Foundations, course 2 · Source
Calculus For Machine Learning : 2 hours; Part 7: Machine Learning Foundations, course 3 · Source
Linear Algebra For Machine Learning : 2 hours; Part 7: Machine Learning Foundations, course 4 · Source
Linear Regression Modeling in Python : 4 hours; Part 8: Intermediate Machine Learning with Python, course 1 · Source
Gradient Descent Modeling in Python : 3 hours; Part 8: Intermediate Machine Learning with Python, course 2 · Source
Logistic Regression Modeling in Python : 3 hours; Part 8: Intermediate Machine Learning with Python, course 3 · Source
Decision Tree and Random Forest Modeling in Python : 6 hours; Part 8: Intermediate Machine Learning with Python, course 4 · Source
Optimizing Machine Learning Models in Python : 4 hours; Part 8: Intermediate Machine Learning with Python, course 5 · Source
Deep Learning Applications in PyTorch : 8 hours; Part 9: Deep Learning Foundations, course 1 · Source
Understanding Embeddings : 6 hours; Part 10: Embeddings and Vector Databases, course 1 · Source
Vector Databases and Search : 12 hours; Part 10: Embeddings and Vector Databases, course 2 · Source
Introduction to Retrieval-Augmented Generation (RAG) : 6 hours; Part 11: RAG Systems, course 1 · Source
Evaluating LLM Outputs : 6 hours; Part 11: RAG Systems, course 2 · Source
Advanced RAG : 8 hours; Part 11: RAG Systems, course 3 · Source

What the credential is

Credential type: Provider-issued certificate · www.dataquest.io / ai-engineer
Credential: AI Engineer in Python Certificate · www.dataquest.io / ai-engineer support.dataquest.io / 153-certificates-earning-finding-and-sharing www.dataquest.io / plans support.dataquest.io / 28-when-does-my-subscription-expire-and-what-happens-after
Issuer: Dataquest · www.dataquest.io / ai-engineer support.dataquest.io / 153-certificates-earning-finding-and-sharing www.dataquest.io / plans support.dataquest.io / 28-when-does-my-subscription-expire-and-what-happens-after
Sharing: The path page says: "Add this Python certificate to your resume or LinkedIn to showcase your skills and stand out in job applications." The help center describes an "Add to LinkedIn" button on the profile page. · www.dataquest.io / ai-engineer support.dataquest.io / 153-certificates-earning-finding-and-sharing www.dataquest.io / plans support.dataquest.io / 28-when-does-my-subscription-expire-and-what-happens-after
Exam requirement: Dataquest says it awards a certificate for every course and path you complete and that certificates are earned by completing courses, which requires a paid subscription; the plans page lists Assessments and Certificates for Premium and Team, not for the Free plan. No passing score is stated on the captured pages. · www.dataquest.io / ai-engineer support.dataquest.io / 153-certificates-earning-finding-and-sharing www.dataquest.io / plans support.dataquest.io / 28-when-does-my-subscription-expire-and-what-happens-after
Credential scope: Dataquest states that its courses are not accredited. If the subscription expires, the help center says the account reverts to the Free plan and keeps access to any certificates already earned. · www.dataquest.io / ai-engineer support.dataquest.io / 153-certificates-earning-finding-and-sharing www.dataquest.io / plans support.dataquest.io / 28-when-does-my-subscription-expire-and-what-happens-after

Who should skip it

Dataquest courses are not accredited (help center, certificates article). · Official source · 2026-10-12
Certificates are earned by completing courses, which requires a paid subscription; the Free plan has no certificates. · Official source · 2026-10-12
Annual plans cannot be canceled early; auto-renewal can be canceled to prevent the next charge (help center, refund article). · Official source · 2026-10-12

Alternatives in the registry

Change log

2026-10-11: Initial record from the official Dataquest career path page, plans page and help-center articles captured from the United States on 11 October 2026. · Source
2026-10-12: Publishing-day recheck of the official sources captured from the United States on 12 October 2026: programme facts unchanged. · Source

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