Teaching Focus

This project-centric course guides learners through designing, developing, and deploying an AI-powered interview simulator (ACE Interview). The curriculum emphasizes practical application building using Python, the Streamlit framework, and the OpenAI API. It covers architectural planning, database schema design, and prompt engineering, while addressing real-world operational challenges such as token cost management, hallucination mitigation, and prompt injection defense.

Audience and Prerequisites

The course is intended for learners aiming to build AI applications, such as aspiring AI engineers and data scientists. Crucially, this course requires intermediate Python skills (Python 3.8+) and familiarity with APIs. It also requires a code editor and an OpenAI API key; a curriculum lesson covers adding funds to the API account. These course-specific technical requirements supersede 365 Data Science's general site-wide marketing, which states their platform has "no prerequisites."

Curriculum and Workload

The provider lists a 4-hour workload, comprising 46 lessons and 2 exams (including a practice exam) structured across seven modules:

Introduction To The Course (11 min)
Planning Stage (44 min)
Crafting And Testing AI Prompts (24 min)
Getting To Know Streamlit (25 min)
Developing The Prototype (48 min)
Solving Real-World AI Challenges (49 min)
Course Exam (40 min)

While the initial lessons are labeled as free previews, full curriculum access is listed under the paid Self-Study plan.

Credential

Completing the course and passing the final exam with a score of 60% or higher earns a provider-issued Course Certificate. The provider states this verifiable certificate can be downloaded and shared. The course is listed as offering 3.5 NASBA CPE credits (Field of Study: Information Technology); however, acceptance of these credits rests solely with individual state boards of accountancy, not the provider.

Dated Access and Cost

Access to the full course and certification requires a 365 Data Science premium subscription. Pricing observations (observed 24 September 2026) show conflicting rates on the provider's pricing page: a regular display of $36/month, an annual billing offer equating to $12.50/month, and a separate FAQ citing $29/month for full access. No total completion cost is established, as billing depends on the learner's pace. Furthermore, the curriculum covers funding an OpenAI API account; API usage charges and any included credits are not quantified in the reviewed course source.

Comparison Framing

Unlike broad, zero-to-hero introductory AI courses, this offering focuses narrowly on practical application development using specific tools (Streamlit and OpenAI). It is an intermediate-to-advanced project module rather than a foundational learning path, making it suitable for those who already know Python and want to practice assembling an AI web application.

Dated first-party evidence

Llm source; captured 2026-09-24T05:36:29.167Z (UTC), 24 September 2026. Saved capture: llm-source.json.
Certificates source; captured 2026-09-24T05:35:54.457Z (UTC), 24 September 2026. Saved capture: certificates-source.json.
Pricing source; captured 2026-09-24T05:36:01.550Z (UTC), 24 September 2026. Saved capture: pricing-source.json.

Pricing card screenshot confirms the annual billing selection; the FAQ’s $29 figure is retained as a separate, inconsistent display. Tax, ISO currency, exact promotion expiry and total completion cost remain unverified.