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365 Data Science: programs, prices, and learner fit

A self-paced online platform focused on data, analytics, AI, and related career skills. It publishes courses, projects, assessments, and guided career tracks with provider-issued completion evidence. Catalog counts, prices, renewal terms, and certificate rules can change.

Open 365 Data Science ↗

Price
USD 29 / month equivalentBilled annually; verify promotions and taxes
Format
Self-paced online courses, career tracks, projects, practice, and assessments
Facts checked 7 September 2026 against 365 Data Science’s official page ·
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· Next check October 2026

Subscription plans : regular prices:

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USD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established.

Available programs (47)

AI engineer

Duration
32 hours of content
Level
Basic
Format
100% online, self-paced career track
Credential
Provider-issued certification
Prerequisites
No enrollment prerequisites.
Facts checked 29 September 2026 against 365 Data Science’s official page ·
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· Next check October 2026

Intro to AI Agents and Agentic AI

Price
365 Data Science Self-Study : USD 36/month for course content, billed monthly at the regular price.
USD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established. · Official pricing

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Duration
2 hoursOfficial course-page advertised content duration, not total completion time; the 365 course catalog also showed 2 hours of content on 3 October 2026.
Level
Basic
Format
Online self-paced course
Credential
Course certificate
Prerequisites
Intro to AI course
Facts checked 7 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

AI Agent Architecture

Price
365 Data Science Self-Study : USD 36/month for course content, billed monthly at the regular price.
USD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established. · Official pricing

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Duration
2 hoursOfficial course-page advertised content duration, not total completion time; the 365 course catalog also showed 2 hours of content on 3 October 2026.
Level
Intermediate
Format
Online self-paced course
Credential
Course certificate
Prerequisites
Intro to AI; Intro to AI agents
Facts checked 7 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

AI Agents in Practice

Price
365 Data Science Self-Study : USD 36/month for course content, billed monthly at the regular price.
USD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established. · Official pricing

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Duration
2 hoursOfficial course-page advertised content duration, not total completion time; the 365 course catalog also showed 2 hours of content on 3 October 2026.
Level
Advanced
Format
Online self-paced course
Credential
Course certificate
Prerequisites
Intermediate Python skills (comfort with functions, basic data structures, and working in notebooks); Basic familiarity with large language models (e.g., using ChatGPT, prompts, tokens, system vs user messages); A general understanding of AI concepts is helpful but not required
Facts checked 7 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Evaluating AI Agents: From Metrics to Real-World Impact

Price
365 Data Science Self-Study : USD 36/month for course content, billed monthly at the regular price.
USD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established. · Official pricing

We may earn a commission. It does not change our facts.

Duration
2 hoursOfficial course-page advertised content duration, not total completion time; the 365 course catalog also showed 2 hours of content on 3 October 2026.
Level
Intermediate
Format
Online self-paced course
Credential
Course certificate
Prerequisites
Working knowledge of Python (functions, dictionaries, basic libraries like pandas); Basic understanding of machine learning workflows; No prior experience with AI evaluation frameworks needed
Facts checked 7 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Build Conversational AI Memory with LangGraph

Price
365 Data Science Self-Study : USD 36/month for course content, billed monthly at the regular price.
USD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established. · Official pricing

We may earn a commission. It does not change our facts.

Duration
2 hoursOfficial course-page advertised content duration, not total completion time; the 365 course catalog also showed 2 hours of content on 3 October 2026.
Level
Advanced
Format
Online self-paced course
Credential
Course certificate
Prerequisites
Python (version 3.8 or later), LangGraph and LangChain libraries, OpenAI API key, and a code editor or IDE (e.g., VS Code or Jupyter Notebook); Intermediate Python skills are required. Familiarity with LangChain and basic concepts in AI agents or conversational systems is recommended.
Facts checked 7 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Introduction to Vector Databases with Pinecone

Price
365 Data Science Self-Study : USD 36/month for course content, billed monthly at the regular price.
USD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established. · Official pricing

We may earn a commission. It does not change our facts.

Duration
2 hoursOfficial course-page advertised content duration, not total completion time; the 365 course catalog also showed 2 hours of content on 3 October 2026.
Level
Advanced
Format
Online self-paced course
Credential
Course certificate
Prerequisites
Python (version 3.8 or later), Pinecone account and API key, and a code editor or IDE (e.g., VS Code or Jupyter Notebook); Intermediate Python skills are required. Familiarity with embeddings, APIs, or LangChain is helpful but not mandatory.
Facts checked 7 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

MCPs for Everyone: Supercharge Your AI Tooling Skills

Duration
9 hours (provider headline; module and exam timings listed separately)
Level
Basic
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Python (version 3.8 or later), Model Context Protocol (MCP) tools, and a code editor or IDE. Intermediate Python skills and intermediate API skills are required.
Facts checked 11 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

LLM Engineering in Practice with Streamlit and OpenAI

Duration
4 hours (provider headline; module and exam timings listed separately)
Level
Advanced
Format
100% online, self-paced course
Credential
Provider-issued certification
Prerequisites
Intermediate Python skills are required (Python 3.8 or later), along with familiarity with APIs. Requires Streamlit, an OpenAI API key, and a code editor. (Note: These course-specific requirements supersede general platform marketing stating no prerequisites).
Facts checked 11 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

AI Model deployment on AWS

Duration
1 hour (provider headline)detailed sections total 84 minutes of instruction plus a 60-minute course exam; not an elapsed completion estimate.
Level
Intermediate
Format
100% online, self-paced
Credential
Course Certificate
Prerequisites
Basic understanding of Cloud and understanding of Machine Learning.
Facts checked 11 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Intro to Claude Code for Data Analysis

Duration
2 hours (provider headline; section and exam times listed separately)
Level
Basic
Format
Online Course
Credential
Provider-issued certificate
Prerequisites
No prerequisites stated. Advanced preparation lists Data Analysis in PowerBI with ChatGPT separately; it is not presented as a mandatory admission condition.
Facts checked 12 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Finetuning with Llama

Duration
2 hours (provider headline; section and exam times listed separately)
Level
Intermediate
Format
Online Course
Credential
Provider-issued certificate
Prerequisites
Python programming skills, Basic understanding of GenAI and LLMs, Interest in Customizing GenAI and LLMs
Facts checked 11 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Intro to LLMs

Duration
3 hours (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
100% online, self-paced course
Credential
Provider-issued certification
Prerequisites
Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Basic understanding of Python programming is required. No prior experience with natural language processing or machine learning is necessary.
Facts checked 13 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Intro to NLP for AI

Duration
4 hours (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
100% online, self-paced course
Credential
Provider-issued certification
Prerequisites
Python (version 3.8 or later), Natural Language Toolkit (NLTK) and pandas libraries, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code) Basic understanding of Python programming is required. No prior experience with natural language processing or machine learning is necessary. The course description separately asks for familiarity with machine learning, conflicting with the formal no-prior-machine-learning-experience statement.
Facts checked 14 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Introduction to Hugging Face

Duration
2 hours (provider headline; module and exam timings listed separately)
Level
Advanced
Format
100% online, self-paced course
Credential
Provider-issued certification
Prerequisites
Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Completion of an introductory Python course is recommended. Familiarity with machine learning or natural language processing concepts is helpful but not mandatory.
Facts checked 14 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Introduction to LLaMA

Duration
2 hours (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
100% online, self-paced course
Credential
Provider-issued certification
Prerequisites
Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Intermediate Python skills are required. Familiarity with large language models (LLMs) or Hugging Face tools is helpful but not mandatory.
Facts checked 14 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Build Chat Applications with OpenAI and LangChain

Duration
Provider headline: 7 hourspage separately lists lessons (4 hours), practice exams (3 hours), and projects (8 hours). These are source categories, not an inferred total completion time.
Level
Advanced
Format
100% online, self-paced course
Credential
Provider-issued certification
Prerequisites
Python (version 3.8 or later), OpenAI API key, LangChain library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Intermediate Python skills are required. Basic concepts in natural language processing (NLP) is helpful but not mandatory.
Facts checked 13 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Deep Learning with TensorFlow 2

Duration
5 hours (provider headline; module and exam timings listed separately)
Level
Advanced
Format
100% online, self-paced course
Credential
Provider-issued certification
Prerequisites
Python (version 3.8 or later), TensorFlow 2 library, and a code editor or IDE (e.g., Jupyter Notebook, VS Code, or Google Colab) Intermediate Python and machine learning knowledge is required. Familiarity with NumPy and neural network fundamentals is recommended.
Facts checked 13 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Intro to AI

Duration
3 hours (provider headline; module and exam timings listed separately)
Level
Basic
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
No experience is required. We'll start from the basics and build your understanding step by step. Advanced preparation: None.
Facts checked 14 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

AI Ethics

Duration
4 hours (provider headline; module and exam timings listed separately)
Level
Basic
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Advanced preparation: Intro to AI
Facts checked 14 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Intro to ChatGPT and Generative AI

Duration
2 hours (provider headline; module and exam timings listed separately)
Level
Basic
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Access to ChatGPT. Advanced preparation: None
Facts checked 15 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

ChatGPT for Data Science

Duration
2 hours (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Access to ChatGPT. Machine Learning fundamentals are helpful but not mandatory. Advanced preparation: Machine Learning in Python.
Facts checked 29 September 2026 against 365 Data Science’s official page ·
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· Next check October 2026

Machine Learning in Python

Duration
7 hours (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Python (version 3.8 or later), Pinecone account and API key, and a code editor or IDE (e.g., VS Code or Jupyter Notebook). Intermediate Python skills are required. Familiarity with basic statistics and linear algebra is helpful but not mandatory. Advanced preparation: Statistics, Introduction to Python.
Facts checked 29 September 2026 against 365 Data Science’s official page ·
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· Next check October 2026

Machine Learning with Decision Trees and Random Forests

Duration
1 hour (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Python (version 3.8 or later), Streamlit library, OpenAI API key, and a code editor or IDE (e.g., VS Code or Jupyter Notebook). Intermediate Python skills are required. Familiarity with basic statistics and linear algebra is helpful but not mandatory. Advanced preparation: Introduction to Python, Machine Learning in Python.
Facts checked 29 September 2026 against 365 Data Science’s official page ·
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· Next check October 2026

Convolutional Neural Networks with TensorFlow in Python

Duration
4 hours (provider headline; module and exam timings listed separately)
Level
Advanced
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Python (version 3.8 or later), TensorFlow 2 library, and a code editor or IDE (e.g., Jupyter Notebook, VS Code, or Google Colab). Intermediate Python and machine learning knowledge is required. Familiarity with NumPy and neural network fundamentals is recommended. Advanced preparation: Deep Learning with TensorFlow 2, Machine Learning in Python, Math Foundation for ML.
Facts checked 30 September 2026 against 365 Data Science’s official page ·
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· Next check October 2026

Deep Learning with Pytorch

Duration
2 hours (provider headline; module and exam timings listed separately)
Level
Advanced
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Python (version 3.8 or later), PyTorch library, and a code editor or IDE (e.g., Jupyter Notebook, VS Code, or Google Colab). Intermediate Python and machine learning knowledge is required. Familiarity with NumPy and neural network fundamentals is recommended. Advanced preparation: Machine Learning in Python, Math Foundation for ML.
Facts checked 30 September 2026 against 365 Data Science’s official page ·
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· Next check October 2026

Speech Recognition with Python

Duration
3 hours (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Python (version 3.8 or later), SpeechRecognition and PyAudio libraries, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code). Basic understanding of Python programming is required. No prior experience with audio processing or speech recognition is necessary. Advanced preparation: Introduction to Python, Machine Learning in Python.
Facts checked 30 September 2026 against 365 Data Science’s official page ·
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· Next check October 2026

Machine Learning with K-Nearest Neighbors

Duration
2 hours (provider headline; 1 hour of lessons and 25 minutes of practice exams are listed separately)
Level
Intermediate
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Python (version 3.8 or later), Streamlit library, OpenAI API key, and a code editor or IDE (e.g., VS Code or Jupyter Notebook). Intermediate Python skills are required. Familiarity with basic statistics and linear algebra is helpful but not mandatory. Advanced preparation: Introduction to Python, Machine Learning in Python.
Facts checked 1 October 2026 against 365 Data Science’s official page ·
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· Next check October 2026

Machine Learning with Naïve Bayes

Duration
2 hours (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Python (version 3.8 or later), Streamlit library, OpenAI API key, and a code editor or IDE (e.g., VS Code or Jupyter Notebook). Intermediate Python skills are required. Familiarity with basic statistics and linear algebra is helpful but not mandatory. Advanced preparation: Introduction to Python, Machine Learning in Python.
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· Next check October 2026

Machine Learning with Support Vector Machines

Duration
1 hour (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Python (version 3.8 or later), Streamlit library, OpenAI API key, and a code editor or IDE (e.g., VS Code or Jupyter Notebook). Intermediate Python skills are required. Familiarity with basic statistics and linear algebra is helpful but not mandatory. Advanced preparation: Introduction to Python, Machine Learning in Python.
Facts checked 1 October 2026 against 365 Data Science’s official page ·
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· Next check October 2026

Data Analysis with ChatGPT

Duration
2 hours (provider headline; module and exam timings listed separately)
Level
Basic
Format
Online Course
Credential
Provider-issued course certificate
Prerequisites
Required: Access to ChatGPT, Basic familiarity with data concepts, Microsoft Excel (any recent version, such as Excel 2019, 2021, or Microsoft 365). Recommended advanced preparation: Introduction to Excel, Intro to ChatGPT and Generative AI.
Facts checked 15 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Time Series Analysis with Python

Duration
7 hours (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Python (version 3.8 or later), pandas library, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code). Basic familiarity with Python programming is required. Familiarity with NumPy is helpful but not mandatory. Advanced preparation: Statistics, Introduction to Python.
Facts checked 2 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Introduction to Python

Duration
2 hours (provider headline; module, practice exam, and project timings listed separately)
Level
Basic
Format
100% online, self-paced course
Credential
Provider-issued course certificate
Prerequisites
Jupyter Notebook or JupyterLab (available through anaconda.com or online platforms like Google Colab). Advanced preparation: None.
Facts checked 15 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Intro to MLOps

Duration
3 hours (provider headline; 4 hours of lessons listed separately)
Level
Basic
Format
Online Course
Credential
Provider-issued course certificate
Prerequisites
Required: Intermediate Understanding of Python, Cursory Understanding of Machine Learning, Basic Understanding of Git. Recommended: Knowledge of CI/CD helpful.
Facts checked 3 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Fully Automated MLOps

Duration
1 hour (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
Online Course
Credential
Provider-issued course certificate
Prerequisites
Required: Python (version 3.8 or later), MLflow, Docker, and a code editor or IDE (e.g., VS Code or Jupyter Notebook), Access to aws.amazon.com and a free AWS account, Basic understanding of MlOps. Recommended advanced preparation: Machine Learning in Python, Introduction to AWS Cloud.
Facts checked 3 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Gradient Boosting Made Easy: XGBoost, LightGBM & Friends

Duration
2 hours (provider headline; module and exam timings listed separately)
Level
Intermediate
Format
Online Course
Credential
Provider-issued course certificate
Prerequisites
Required: Good knowledge of Python programming, Familiarity with the scikit-learn library, Understanding of basic machine learning concepts e.g. Linear Regression, Eagerness to learn and apply new tools, Basic knowledge of Bash/command line usage. Recommended advanced preparation: None.
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· Next check November 2026

AI agent engineer

Duration
36 hours of content (provider-listed)
Level
Intermediate
Format
100% online career track
Credential
Provider-issued certification
Prerequisites
No formal prerequisite is stated. The provider says prior AI experience is not needed to start.
Facts checked 3 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Machine learning scientist

Duration
29 hours of content (provider-listed)
Level
Advanced
Format
100% online career track
Credential
Provider-issued certification
Prerequisites
No formal prerequisite is stated on the track page. The provider labels the track advanced.
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Data scientist

Duration
69 hours of content (provider-listed)
Level
Intermediate
Format
100% online career track
Credential
Provider-issued certification
Prerequisites
No formal prerequisite is stated on the track page. The provider labels the track intermediate.
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· Next check November 2026

Senior data scientist

Duration
34 hours of content (provider-listed)
Level
Advanced
Format
100% online career track
Credential
Provider-issued certificate
Prerequisites
No formal prerequisite is stated on the track page. The provider labels it its advanced career track, designed as the next step after completing its Data Science Career Track.
Facts checked 4 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

AI Strategy

Duration
4 hours (provider headline; module and exam timings listed separately)
Level
Basic
Format
Online Course
Credential
Provider-issued course certificate
Prerequisites
Required prerequisite: Intro to AI. Advanced preparation: Data Literacy and Intro to AI.
Facts checked 9 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Advanced Machine Learning and AI Applications in Finance

Duration
3 hours (provider headline). Lessons (2 hours) and Practice exams (1 hour) are explicitly listed. The course exam is 90 minutes. There is no inferred elapsed time.
Level
Advanced
Format
Online Course
Credential
Provider-issued course certificate
Prerequisites
Required: Python (Pandas, NumPy), Basic understanding of time series analysis, Basic understanding of machine learning.
Facts checked 11 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

AI Applications for Business Success

Duration
2 hours (provider headline; module and exam timings listed separately)
Level
Advanced
Format
Online Course
Credential
Provider-issued course certificate
Prerequisites
Required: Python (version 3.8 or later), pandas library, a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code), and intermediate Python skills. Recommended advanced preparation: Familiarity with basic statistics and linear algebra, Introduction to Python, and Machine Learning in Python.
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· Next check November 2026

Product Management for AI & Data Science

Duration
6 hours (provider headline). Lessons (5 hours) and Practice exams (42 minutes) are listed separately.
Level
Basic
Format
Online Course
Credential
Provider-issued course certificate
Prerequisites
Required: No prior experience or knowledge is required. Recommended advanced preparation: Intro to AI.
Facts checked 13 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

ChatGPT at Work: Ethical and Secure ChatGPT Use

Duration
2 hours (provider headline; module and exam timings listed separately)
Level
Basic
Format
Online Course
Credential
Provider-issued course certificate
Prerequisites
Required prerequisite: Access to ChatGPT. Advanced preparation: Intro to ChatGPT and Generative AI.
Facts checked 14 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Introduction to Amazon Bedrock

Duration
2 hours (provider headline). Lessons (1 hour) are explicitly listed. The course exam is 30 minutes.
Level
Basic
Format
Online Course
Credential
Provider-issued course certificate
Prerequisites
Required: Basic Understanding of Python, Familiarity with AWS.
Facts checked 15 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

Introduction to MLflow

Duration
1 hour (provider headline). Lessons (2 hours) are listed separately.
Level
Advanced
Format
Online Course
Credential
Provider-issued course certificate
Prerequisites
Required: Basic Understanding of Python, Enthusiasm for Learning. Advanced preparation: None.
Facts checked 15 October 2026 against 365 Data Science’s official page ·
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· Next check November 2026

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Credential policy

365 Data Science says certificates already acquired have no expiration date and can be checked through its certificate-verification service. Keep certificate validity distinct from the period of access purchased for learning materials. · Source

Refund and trial terms

The terms distinguish subscription plans from individual courses and lifetime-access products. Subscription plans have a 30-day refund window beginning with access after payment and order confirmation. Individual courses and lifetime-access products have a 14-day window on that basis, ending earlier if a certificate is earned for any included course. Access may be suspended when refunded. Section XIV separately describes a cancellation right measured from contract conclusion; check that section as well rather than equating its starting date with access or payment. These are offering-specific terms, not a free trial or a universal renewal-refund promise. · Source

Programs, formats, and certificates

The official catalog describes self-paced online courses, guided career tracks, hands-on projects, practice work, and assessments. The current pricing page says the platform includes 133 courses, 51 projects, and 12 career tracks. Published subject areas include data science, data analytics, machine learning, AI engineering, AI agents, programming, data engineering, business analysis, and related tools.

Named career tracks currently include AI Engineer, AI Agent Engineer, Data Scientist, Machine Learning Scientist, Data Analyst, and Data Engineer. The provider says learners who complete required coursework and pass the final exam can earn a Career Track Certificate; individual course-completion certificates are also described. These are provider-issued learning credentials, not university degrees or a guarantee of employment.

Current official prices

Checked 4 October 2026, as shown in the United States. The official pricing page lists the Free plan at $0 per month. It lists Self-study at $29 per month when billed annually, alongside a displayed comparison price of $36 per month. The pricing page does not publish a fixed numeric price for Lifetime access; it says “Contact us.” The AI/Data Science Bootcamp also has no fixed public price on that page and instead describes flexible payment options and contact with a mentor.

Official source URL: https://365datascience.com/pricing/?page=1. Check the current 365 Data Science offer before paying, because promotions, taxes, currency display, access terms, and regional availability can change.

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Who may find it useful

365 Data Science may fit learners who want a structured, self-paced sequence across data and AI topics; prefer a single platform with courses, projects, and career tracks; or need beginner-to-intermediate scaffolding before choosing a narrower technical specialty. Its catalog can also suit learners who value a visible sequence and provider-issued completion evidence.

Who may need a different format

It may be a poor fit if you need an academic degree, transferable university credit, a vendor certification exam, guaranteed live instruction, close individual feedback, a guaranteed job outcome, or proof of production experience. A large self-paced library can also be a weak choice when you need a tightly bounded syllabus, scheduled accountability, or employer-recognized assessment outside the provider.

Honest limits of this overview

  • Academies.ai has not independently completed or graded the courses, projects, exams, mentoring, or bootcamp experience.
  • We have not independently confirmed completion rates, hiring outcomes, salary outcomes, learner-support response times, or the consistency of feedback across tracks.
  • The public pricing page does not provide a numeric Lifetime or Bootcamp price, so those costs cannot be compared without contacting the provider.
  • Catalog counts, track names, discounts, taxes, renewal terms, and certificate rules can change. Verify the exact offer shown for your account and region.
  • A provider-issued certificate records completion under the provider’s rules; it does not by itself establish production competence or independent professional certification.

What to verify before you enrol

  1. Open the exact track and confirm prerequisites, required courses, projects, final assessment, and certificate conditions.
  2. Check whether the annual subscription is charged upfront, how renewal works, and what happens to course and project access after cancellation.
  3. Confirm whether tools, cloud services, datasets, or software needed for portfolio work create additional costs.
  4. Decide what durable evidence you will keep beyond the certificate: code, project documentation, evaluation results, or a case study.

Use our AI course selection framework and total-cost worksheet before deciding.

Verify programs and current pricing ↗

We may earn a commission. It does not change our facts.

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