Program comparison
Agent foundations before architecture choices
For an AI-literate professional choosing agent fundamentals and business applications or deeper agent-system architecture.
We may earn a commission. It does not change our facts.
Choose Intro to AI Agents for agent concepts and the n8n example after Intro to AI; choose AI Agent Architecture for planning, memory, multi-agent structure and oversight once introductory agent knowledge is in place.
Dated facts side by side
Swipe or scroll the table to compare both programs.
| Decision fact | Intro to AI Agents and Agentic AI | AI Agent Architecture |
|---|---|---|
| Dated US-view price and payment scope | USD 36. One month of Self-Study access at regular monthly price. Not total cost to finish; third-party usage may cost extra. Official source · 2026-09-09 | USD 36. One month of Self-Study access at regular monthly price. Not total cost to finish; third-party usage may cost extra. Official source · 2026-09-09 |
| Listed workload or exam sitting | 2 hours Official course-page advertised content duration, not total completion time; the 365 course catalog also showed 2 hours of content on 3 October 2026. Official source · 2026-09-09 | 2 hours Official course-page advertised content duration, not total completion time; the 365 course catalog also showed 2 hours of content on 3 October 2026. Official source · 2026-09-09 |
| Recorded level and format | Basic; Online self-paced course Official source · 2026-09-09 Official source · 2026-09-09 | Intermediate; Online self-paced course Official source · 2026-09-09 Official source · 2026-09-09 |
| Award and assessment conditions | Observation 2026-09-09: Course certificate, issued by 365 Data Science. Provider curriculum includes course exam; exact pass requirements not captured. Certificate expiry and renewal are unstated. The accepted programme summary advertises 3 CPE credits in Specialized Knowledge. No separate CPE-specific observation date is recorded. Official source · 2026-09-09 | Observation 2026-09-09: Course certificate, issued by 365 Data Science. Provider curriculum includes course exam; exact pass requirements not captured. Certificate expiry and renewal are unstated. The accepted programme summary advertises 4 CPE credits. No separate CPE-specific observation date is recorded. Official source · 2026-09-09 |
| Preparation and audience limits | Preparation observed 2026-09-09: Intro to AI course Boundary observed 2026-09-09: Individuals looking for an advanced-level curriculum, as this course is explicitly classified as basic level. Boundary observed 2026-09-09: Learners seeking a first introduction to AI itself, since the provider lists "Intro to AI" as prerequisite preparation. Boundary observed 2026-09-09: Students seeking a standalone vendor-certification path rather than a Basic course on agent fundamentals and implementation. Official source · 2026-09-09 | As recorded on 2026-09-09: Intro to AI; Intro to AI agents Learners without foundational knowledge of artificial intelligence or AI agents, as the provider lists these introductory subjects as required prerequisites for this intermediate material.; Students requiring a one-off course purchase: the priced access route reviewed here is a monthly Self-Study subscription, not a fixed completion fee. Official source · 2026-09-09 |
| Inventory and assessment-time interpretation | Listed entries: Understanding AI Agents (9 min); Essential Ingredients For Building AI Agents (16 min); Types Of AI Agents: From Simple To Complex Structures (14 min); Guiding And Teaching AI Agents (8 min); AI Agent Architecture Patterns (16 min); Implementing AI Agents In Practice (25 min); Practical Example - Build An Agentic Automation With N8n (21 min); AI Agent Infrastructure (15 min); AI Agents In Business (10 min); Course Exam (60 min). Computed allocation: 194 minutes across listed entries. Separately named assessments total 60 minutes, 30.9% of 194 listed minutes (60 / 194 x 100, rounded to one decimal). Module observations: 2026-09-09. Official source · 2026-09-09 | Listed entries: Foundations of Agentic AI (15 min); Prompting for Agentic Systems (11 min); Agentic Workflows (19 min); Single-agent Structures (12 min); Planning and Decomposition (15 min); Multi-Agent Architectures (17 min); Execution, Performance, and Reliability (10 min); Memory Systems (11 min); Oversight and Control (6 min); Governance and Safety (13 min); Evaluation and Benchmarking (9 min); Conclusion (1 min); Course exam (60 min). Computed allocation: 199 minutes across listed entries. Separately named assessments total 60 minutes, 30.2% of 199 listed minutes (60 / 199 x 100, rounded to one decimal). Module observations: 2026-09-09. Official source · 2026-09-09 |
In the agent introduction and architecture inventories, hours convert to sixty minutes. Only explicit exam, quiz or assessment entries can contribute separate assessment minutes; their denominator is the entire numeric inventory, including any inseparable project/exam block. Agent-module sums do not establish personal study time, preparation effort or allocation between video and reading.
Official sites. No commission.
Provider-listed modules and exam domains
Intro to AI Agents and Agentic AI
- Understanding AI Agents · 9 min · [2]
- Essential Ingredients For Building AI Agents · 16 min · [2]
- Types Of AI Agents: From Simple To Complex Structures · 14 min · [2]
- Guiding And Teaching AI Agents · 8 min · [2]
- AI Agent Architecture Patterns · 16 min · [2]
- Implementing AI Agents In Practice · 25 min · [2]
- Practical Example - Build An Agentic Automation With N8n · 21 min · [2]
- AI Agent Infrastructure · 15 min · [2]
- AI Agents In Business · 10 min · [2]
- Course Exam · 60 min; Provider-listed exam or combined project/exam section; duration kept separate from advertised content hours. · [2]
AI Agent Architecture
- Foundations of Agentic AI · 15 min · [3]
- Prompting for Agentic Systems · 11 min · [3]
- Agentic Workflows · 19 min · [3]
- Single-agent Structures · 12 min · [3]
- Planning and Decomposition · 15 min · [3]
- Multi-Agent Architectures · 17 min · [3]
- Execution, Performance, and Reliability · 10 min · [3]
- Memory Systems · 11 min · [3]
- Oversight and Control · 6 min · [3]
- Governance and Safety · 13 min · [3]
- Evaluation and Benchmarking · 9 min · [3]
- Conclusion · 1 min · [3]
- Course exam · 60 min; Provider-listed exam or combined project/exam section; duration kept separate from advertised content hours. · [3]
Conceptual readiness before a design choice
The preparation relationship helps identify the kind of question each course addresses. Someone still clarifying what an agent does may need vocabulary and context; someone deciding how components interact may need design patterns and trade-offs.
Named prerequisites do not establish a compulsory purchase bundle, and these records do not independently assess equivalent prior knowledge. Likewise, advertised CPE quantities do not rank instructional quality or guarantee a receiving board’s acceptance. Use the next design decision you need to make as a more concrete selection criterion.
Which to choose if…
Choose Intro to AI Agents and Agentic AI when
You need a broad first pass through agent types, ingredients, business uses and a practical automation example.
Choose AI Agent Architecture when
You want to compare design patterns and system components, including planning, execution, memory, governance and evaluation.
Programme pages and official options
- Intro to AI Agents and Agentic AI Read the programme profile
- AI Agent Architecture Read the programme profile
Other documented options
- Agentic AI by DeepLearning.AI. Course completion certificate.
- Design, Develop, and Deploy Multi-Agent Systems with CrewAI by DeepLearning.AI. DeepLearning.AI Certificate of Completion.
Sources
Editorial checked .
- 365datascience.com/pricing/ · checked
- 365datascience.com/courses/intro-to-ai-agents-and-agentic-ai/ · checked
- 365datascience.com/courses/ai-agent-architecture/ · checked
- 365datascience.com/courses/evaluating-ai-agents-from-metrics-to-real-world-impact/ · checked
- www.datacamp.com/pricing?period=monthly · checked
- www.datacamp.com/tracks/developing-ai-applications · checked
- www.coursera.org/courseraplus/special/cplus-monthly-august-2026-global · checked
- www.coursera.org/specializations/introduction-to-generative-ai · checked
- 365datascience.com/courses/intro-to-ai-agents-and-agentic-ai/
- 365datascience.com/courses/ai-agent-architecture/
- 365datascience.com/courses/intro-to-ai-agents-and-agentic-ai/ · checked
- 365datascience.com/courses/ai-agent-architecture/ · checked
- 365datascience.com/pricing/ · checked