Professional Mini-Master in Agentic AI Systems and Workflow Orchestration

Professional Mini-Master in Agentic AI Systems and Workflow Orchestration is a free program on ARPS, the Arab Platform for Professional Studies. An advanced program for designing, securing, evaluating, and operating agentic workflows. The program moves from bounded agency to tool contracts, durable state, security, layered evaluation, and an integrated operating decision supported by evidence.

A circuit board with a brain on it Studying is completely free
Estimated time
28.5 hours
subjects
5
lessons
20
Study language
Arabic and English

Optional certificate fee 50% launch discount

$120 instead of $240

441 AED or 450 SAR

Start the first subject free Fees by route

Program facts

Study fee
Free
subjects
5
lessons
20
Estimated time
28.5 hours
Content last reviewed
Access period
60 days
Study language
Arabic and English

About the program

The program moves from bounded agency to tool contracts, durable state, security, layered evaluation, and an integrated operating decision supported by evidence.

Practical relevance

Produces contracts, failure tables, release thresholds, and decision records.

Why this program

A capable model alone does not create a reliable or authorized system; this program turns capability into contracts, durable state, authority boundaries, evaluation evidence, and reviewable operating decisions before effects are expanded.

Career relevance

Relevant to solution architects and product, operations, risk, and engineering leaders.

What you will learn

  • Design a bounded agentic architecture with tool and context contracts and defensible decisions.
  • Engineer a durable workflow with saved state, safe retries, compensation, and resumable approval.
  • Enforce least privilege, trust boundaries, data minimization, and incident containment for an agentic system.
  • Build an evaluation contract, failure taxonomy, and release thresholds that balance quality, latency, and cost.
  • Make a scale, redesign, or retire decision from value, risk, capacity, and governance evidence.
Learning outcomes (5)
  1. Design a bounded agentic architecture with tool and context contracts and defensible decisions.
  2. Engineer a durable workflow with saved state, safe retries, compensation, and resumable approval.
  3. Enforce least privilege, trust boundaries, data minimization, and incident containment for an agentic system.
  4. Build an evaluation contract, failure taxonomy, and release thresholds that balance quality, latency, and cost.
  5. Make a scale, redesign, or retire decision from value, risk, capacity, and governance evidence.

Who it is for

  • Professionals, managers and solution architects with generative-AI and data foundations who want to build trustworthy agentic systems.
  • Engineering and product team leads who decide whether to scale, redesign or retire an agentic system based on evidence.
  • Technology risk and governance staff who review agent permissions, evaluation and incident-containment plans.

Prerequisites

  • Working understanding of prompting language models, structured data such as JSON, and APIs.
  • Basic knowledge of software testing, reading logs and tracing faults in an existing system.
  • Prior involvement in a generative-AI or workflow-automation project, or readiness to work through detailed hypothetical cases.
  • General familiarity with information-security and data-protection principles.

Curriculum

  1. Subject 1 Open for free

    Agency and Orchestration Architecture

    This module turns a work objective into an outcome contract, bounds agency, compares manager, handoff, and agent-as-tool patterns, and fixes tool and context contracts in a testable architecture decision record.

    4 lessons · 5 hours

    1. Bounded agency and outcome contracts 1.5 hours
    2. Manager, handoff, and agent-as-tool patterns 1.5 hours
    3. Tool and context contracts 1.5 hours
    4. Architecture decision records and threat assumptions 1.5 hours
  2. Subject 2

    Durable Workflows and State Management

    This module specifies explicit state machines, separates decisions from external effects, handles duplication, timeouts, and compensation, and makes human approval a resumable, auditable event.

    4 lessons · 5 hours

    1. State machines and checkpoints 1.5 hours
    2. Idempotency and side-effect control 1.5 hours
    3. Timeouts, retries, and compensation 1.5 hours
    4. Human approval and resumable execution 1.5 hours
  3. Subject 3

    Agent Security and Data Governance

    This module maps identities and trust boundaries, defends tools from untrusted instructions, minimizes data and trace exposure, and establishes deterministic enforcement and incident containment.

    4 lessons · 5 hours

    1. Least privilege and delegated identity 1.5 hours
    2. Prompt injection and trust boundaries 1.5 hours
    3. Data minimization and trace privacy 1.5 hours
    4. Policy enforcement and incident containment 1.5 hours
  4. Subject 4

    Evaluation, Observability, and Release Decisions

    This module creates a risk-shaped evaluation contract, separates component from journey testing, converts traces into a failure taxonomy, and balances quality, cost, and latency before release.

    4 lessons · 5 hours

    1. Evaluation contracts and scenario sets 1.5 hours
    2. Component and end-to-end testing 1.5 hours
    3. Tracing and failure taxonomies 1.5 hours
    4. Quality, latency, and cost trade-offs 1.5 hours
  5. Subject 5

    Operations, Scaling, and Portfolio Governance

    This module assigns outcome and change ownership, designs reversible rollout, calculates cost, capacity, and dependency risk, and integrates evidence into scale, redesign, or retirement decisions.

    4 lessons · 5 hours

    1. Operating model and change ownership 1.5 hours
    2. Staged rollout and rollback 1.5 hours
    3. Agent economics, capacity, and portability 1.5 hours
    4. Integrated portfolio decisions 1.5 hours

Subjects unlock in sequence as you progress.

Strengths

  • Integrated architecture, durability, security, evaluation, and operations.
  • Cases, trade-offs, and inspectable outputs.
  • A documented final decision connecting value, risk, and release boundaries.

Evidence basis

Uses named technical documentation and risk frameworks without claiming external accreditation.

Reference organizations

  • OpenAI
  • NIST
  • Temporal
  • Model Context Protocol
  • OWASP

Frameworks used

  • NIST AI Risk Management Framework — 1.0
Methodology

Primary and official sources for changeable claims, with original fictional cases for application.

Program questions

Does this program require coding?

It does not require building an application, but assumes a practical understanding of APIs, schemas, and testing.

Is this a university degree?

No. It is an internal professional learning credential, not an external degree or accreditation.

How is it assessed?

One automatically scored integrated final follows the five modules. Module results come from their questions in the same designated final attempt, not separate module exams.

Must I use real data?

No. Learning cases are fictional. Do not enter secrets or personal data.

What does the transcript mean?

It lists five modules and results from their questions in the designated final attempt. It does not claim independent module passes.

Is Professional Mini-Master in Agentic AI Systems and Workflow Orchestration free, and do I get a certificate?

Yes. Professional Mini-Master in Agentic AI Systems and Workflow Orchestration is free on ARPS: every lesson, exercise and assessment is free, the first subject is open to read without an account, and the program is available in Arabic and English. Issuing a certificate is optional; it is a training completion certificate showing you passed the program's assessments, not a university degree, a professional licence or an endorsement by an external body.

What other names is Professional Mini-Master in Agentic AI Systems and Workflow Orchestration known by?

The subject of this program is also known as: agentic AI, AI agents, agentic workflow orchestration, AI workflow automation. Learners usually find it by searching for: agentic AI course, learn to build AI agent workflows, free AI workflow automation program, securing and evaluating AI agents, online program with completion certificate.

Certificate

The real design with fictional details; opens in a new window.

Verification example: a real issued certificate