Teaching

This course teaches learners how to connect AI agents with external tools using Model Context Protocols (MCPs). Instructed by Shoumik Goswami, the curriculum introduces the fundamental concepts of interactive AI, the core elements of MCPs, and the mechanics of tool orchestration. Practical instruction includes interpreting existing MCPs, simulating workflows using Claude Desktop, and designing a basic MCP outline with the assistance of Cursor. The page lists 30 lessons, 26 exercises and 4 exams, including the final course exam.

Audience and Prerequisites

The course targets developers, analysts, product managers, and AI enthusiasts. While 365 Data Science markets its platform and this course with a "Basic" skill level and generic claims of zero prerequisites, the course-specific requirements prevail: intermediate Python skills (version 3.8+) and intermediate API skills are listed as required. Learners are also expected to have a code editor or IDE and MCP tools.

Curriculum

The curriculum comprises six instructional modules and a final exam. While the provider's course header lists 9 hours, the sum of the detailed curriculum modules totals 340 minutes (5 hours and 40 minutes) of content workload. That total is arithmetic from the displayed module and exam timings, not a provider-stated completion duration; the headline remains 9 hours.

Course Introduction (11 min)
Welcome To The World Of Interactive AI (32 min)
Introducing Model Context Protocols (MCPs) (37 min)
How To Use A (Simple) Model Context Protocol (23 min)
Building Your First (Very Basic) MCP Outline (33 min)
Bringing It All Together & Next Steps (24 min)
Course Exam (180 min)

Credential

To complete the course, learners must pass a final exam with a score of 60% or higher. Passing earns a provider-issued Course Certificate, which includes a verifiable credential ID and link for downloading or sharing. This individual course certificate is distinct from the provider's comprehensive Career Track certificates. Although the course lists 4 Continuing Professional Education (CPE) credits via NASBA, acceptance of these credits rests exclusively with individual state boards of accountancy.

Dated Access and Cost

As observed on 24 September 2026, the course landing page prominently features a "FREE" label. However, platform-wide pricing lists "Accredited certificates" and full access to the paid Self-Study subscription, making it unverified whether a learner can complete the exam and earn the certificate entirely for free. The paid tier presents several dated price observations: a discounted $12.50/month (billed annually), a $29/month FAQ rate, and a $36/month regular price. An ISO currency code and a total cost to complete the course are not established.

Comparison

This highly specialized course is an editorial fit for technical practitioners who already possess Python and API experience and are specifically focused on operationalizing AI agents through Model Context Protocols. It explicitly frames tool orchestration and basic MCP architecture, making it unsuitable for absolute beginners seeking a broad introduction to general AI or data science, for which a comprehensive career track would be appropriate.

Dated first-party evidence

Mcp source; captured 2026-09-24T05:35:39.496Z (UTC), 24 September 2026. Saved capture: mcp-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.