Program profile · official sources
AI engineer
365 Data Science's AI engineer career track is an online, beginner-oriented sequence of ten courses with 32 hours of listed content. It starts with AI and Python foundations, then moves through data preprocessing, natural language processing, LLMs, vector databases, and application development. Named tools include LangChain, Pinecone, Streamlit, and OpenAI. The curriculum also includes speech recognition and using ChatGPT for data-science work. The provider describes practical projects and states that passing a final exam earns its AI engineer certification. That exam condition matters: consuming the learning content alone is not the stated award requirement. Treat the career language as the provider's positioning, not a guaranteed job outcome, and check enrollment terms separately from the content-hour estimate.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
- Duration
- 32 hours of content
- Level
- Basic
- Format
- Online career track
- Credential
- Provider-issued certification
- Prerequisites
- No enrollment prerequisites.
Sources ↗
What’s covered
- Python
- Data preprocessing
- Natural language processing (NLP)
- Vector databases
- LLM application design
- AI Chatbots with LangChain
- Retrieval Augmented Generation
- Speech Recognition with Python
Prerequisites: No enrollment prerequisites.
Is the track suitable for someone starting out?
The official page labels the skill level basic and says the track has no enrollment prerequisites. Its sequence begins with introductory AI and Python before moving into preprocessing, NLP, and LLM application tools. That supports its beginner-oriented positioning, but it does not promise that every topic will require the same effort from every learner. We would review the later application courses as well as the opening lessons when deciding whether the roadmap matches your goals.
How do I earn the AI engineer certification?
The provider says you must pass a final exam to earn its AI engineer certification. The course page also describes the resulting credential as shareable. Keep that requirement separate from merely watching lessons or finishing the listed content hours. The saved source does not establish the exam's passing score, retake fee, or credential expiry, so those details should be checked directly rather than inferred from the track title or promotional accreditation language.
Do the 32 content hours determine the price or study schedule?
No. The page lists 32 hours of content across ten courses, but that does not specify how quickly you must finish or how many billing periods you will need. Practice, projects, and exam preparation can affect your own schedule. A total completion price also requires a verified plan, currency, and payment scope. We would check those enrollment details before budgeting, rather than convert the content hours into a monthly subscription estimate.
What you actually do
- Intro to AI — Course · Source
- Introduction to Python — Course · Source
- Data Cleaning and Preprocessing with pandas — Course · Source
- Intro to NLP for AI — Course · Source
- Intro to LLMs — Course · Source
- Build Chat Applications with OpenAI and LangChain — Course · Source
- Introduction to Vector Databases with Pinecone — Course · Source
- LLM Engineering in Practice with Streamlit and OpenAI — Course · Source
- Speech Recognition with Python — Course · Source
- ChatGPT for Data Science — Course · Source
What the credential is
Who should skip it
Alternatives in the registry
Related by topic or level.
- Associate AI Engineer for Data Scientists — Check official price; 40 hours of listed content.
- LLM Bootcamp — Educative Standard — USD 278/year for course content, billed annually upfront; 16 hours listed.
- IBM Generative AI Engineering Professional Certificate — Coursera Plus Monthly — USD 59 / month regular; USD promotional terms; not available to residents of India. Outside the US, local currency and pricing are shown at checkout.; Estimated 6 months at 6 hours a week; self-paced.
Change log
- : Initial recorded review of official program details. · Source