Program profile · official sources
AI Agent Architecture
Choose this course to study how agents are organised once you understand introductory AI and agent concepts.
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Who it is for
The provider describes hands-on study of agent concepts, patterns and architectures rather than a specific occupational audience.
Who should skip it
Take the required Intro to AI and Intro to AI agents preparation first if agent fundamentals are still unfamiliar.
Facts checked 7 Oct 2026
- Price
- 365 Data Science Self-Study · USD 36/month for course content, billed monthly at the regular price365 Data Science Self-Study · USD 36/month for course content, billed monthly at the regular price. (see)USD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established. ·
- Provider link
See price and enroll at 365 Data Science (official site) ↗
We may earn a commission. It does not change our facts.
- Time
- 2 hours
Listed content hours, not completion time. Official 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
- Credential
- Course certificate
- Format
- Online self-paced course
- Prerequisites
- Intro to AI; Intro to AI agents
Sources ↗
Course and activity access
Individual courses are included in Self-Study; the plan provides access to certification exams and accredited certificates. Free includes course previews.. Official source
What you actually do
The work centres on single-agent and multi-agent structures, prompting frameworks, planning, execution and memory. ReAct, ReWOO and prompt chaining provide named approaches for examining how an agent moves between reasoning and actions. These architecture topics make it a follow-on to introductory agent material rather than a first encounter with AI.
A useful learning goal is being able to explain why an agent needs a particular structure. Think about whether your uncertainty concerns the agent's plan, the tools it can use, the information it remembers or the way several agents cooperate. Those are more concrete selection criteria than simply wanting to learn agents. Bring that question to the curriculum so you can distinguish architecture knowledge from your need to practise implementing a complete application.
Before you start
Intro to AI; Intro to AI agents
Curriculum
Agent Architecture lists its exam separately from the advertised instructional content. The shares compare the individual recorded entries with their minute total, without estimating the extra practice each learner may need.
| Entry | Subject | Listed time | Share | Role | Observed |
|---|---|---|---|---|---|
| 1 | Foundations of Agentic AI | 15 min | 7.5% | 2026-09-09 | |
| 2 | Prompting for Agentic Systems | 11 min | 5.5% | 2026-09-09 | |
| 3 | Agentic Workflows | 19 min | 9.5% | 2026-09-09 | |
| 4 | Single-agent Structures | 12 min | 6.0% | 2026-09-09 | |
| 5 | Planning and Decomposition | 15 min | 7.5% | 2026-09-09 | |
| 6 | Multi-Agent Architectures | 17 min | 8.5% | 2026-09-09 | |
| 7 | Execution, Performance, and Reliability | 10 min | 5.0% | 2026-09-09 | |
| 8 | Memory Systems | 11 min | 5.5% | 2026-09-09 | |
| 9 | Oversight and Control | 6 min | 3.0% | 2026-09-09 | |
| 10 | Governance and Safety | 13 min | 6.5% | 2026-09-09 | |
| 11 | Evaluation and Benchmarking | 9 min | 4.5% | 2026-09-09 | |
| 12 | Conclusion | 1 min | 0.5% | 2026-09-09 | |
| 13 | Course exam | 60 min | 30.2% | Provider-listed exam or combined project/exam section; duration kept separate from advertised content hours. | 2026-09-09 |
Allocation denominator: 199.0 summed minutes; each displayed share = entry minutes / 199.0 × 100, rounded to one decimal.
US price
| Purchase information | Recorded terms |
|---|---|
| Access and billing | As observed in the United States on 2026-09-09, USD 36 buys one month of Self-Study access at the regular monthly price. This is not a fixed cost to finish; third-party usage may cost extra. |
| Refund and retakes | Refund and retake terms are not established in these stored policy fields. |
Alternatives
Use the alternatives to compare how much guided implementation and assessment you want after the architecture introduction. Their course titles should not be treated as interchangeable certificates of agent expertise. Check the entry requirements and the work used to earn each award, then select the route that addresses the part of the agent-building process you still need to practise.
Design, Develop, and Deploy Multi-Agent Systems with CrewAI
| Provider and format | Level | Workload | Award | US price observation |
|---|---|---|---|---|
| DeepLearning.AI · Online self-paced learning with video lessons and listed activities | Beginner | 13h8m listed course duration | DeepLearning.AI Certificate of Completion | Currency not specified 0. As shown in the United States on 15 October 2026, the provider support page allows free content access, excluding certificates and Accomplishments. Zero applies only to content access, not a credential-inclusive total. The course header marks its 7 graded assignments as Pro access. No complete third-party API, software or compute budget is established. The course FAQ separately quotes USD 30 per month billed monthly or USD 25 per month billed annually, as shown in the United States on 15 October 2026; taxes may apply. These recurring access quotes are not a completion total or an explicitly stated annual charged amount. |
| Entry and assessment questions | Recorded answer |
|---|---|
| Who is it aimed at? | AI builders, engineers, developers, students and technical leaders building and scaling agent systems. |
| What preparation is required? | The FAQ addresses learners with Python experience; it does not specify a formal prerequisite or minimum Python level. The course header marks its 7 graded assignments as Pro access. Free content access does not establish access to every listed assessment or project. |
| How is the award earned? | The outline lists 7 graded assignments. A separate comprehensive final examination and passing threshold are not stated. |
| What remains unconfirmed? | As checked on 15 October 2026, the captured programme page does not establish academic credit, a separate final exam, expiry or renewal. |
Official source · 2026-10-15 | Official source · 2026-10-15 | Official source · 2026-10-15
Agentic AI
| Provider and format | Level | Workload | Award | US price observation |
|---|---|---|---|---|
| DeepLearning.AI · Online, self-paced course with 31 video lessons, 7 code examples and 8 graded assignments | Intermediate | 9 hours 55 minutes of content (provider-listed as 9h55m on the course page); content time, not a completion-time promise | Course completion certificate | As shown in the United States on 25 October 2026, the course page FAQ states that the DeepLearning.AI Pro membership costs $25/mo billed annually and $30/mo billed monthly, with all prices listed in USD; taxes may apply depending on location, and the help-center article says prices exclude taxes unless otherwise stated. The certificate, quizzes and graded labs come with Pro; a free audit gives the videos and the forum only. This is membership pricing, not a fixed course completion total. |
| Entry and assessment questions | Recorded answer |
|---|---|
| Who is it aimed at? | Software developers building autonomous multi-step AI workflows, and professionals with intermediate Python and a basic understanding of large language models and APIs. |
| What preparation is required? | No formal admission prerequisite is stated on the captured page. The provider writes the course for professionals with intermediate-level Python programming skills and a basic understanding of large language models and APIs. |
| How is the award earned? | No separate certification exam is stated on the captured page. The certificate is issued to learners enrolled through the DeepLearning.AI Pro membership who complete the required assessments; auditors receive no certificate. |
| What remains unconfirmed? | Shareability, expiry and renewal of the certificate are not stated on the captured pages. |
Questions before enrolling
What does the agent-architecture certificate require?
The award is Course certificate, issued by 365 Data Science. Provider curriculum includes course exam; exact pass requirements not captured. The course advertises four CPE credits.
Change log
- : Registry admission from previously reviewed official evidence; individual fact dates are preserved. · Source