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Note: This new course is coming soon and is currently available for pre-order.

The Agentic AI course dives into the world of agentic AI, starting with fundamental concepts and progressing to advanced strategies and applications. Core principles of intelligent agents are covered, including their architecture, perception, reasoning and action, along with essential knowledge representation and basic planning. Next, sophisticated agent types and architectures are explored, including multi-agent systems, advanced reasoning techniques like reinforcement learning, as well as real-world implementations across various industries. Key challenges are also explained, ranging from scalability and reliability to ethical concerns.

Complete the Agentic AI course and, optionally, get accredited as a Certified Agentic AI Specialist by passing the certification exam. You can purchase the course now and get the exam later, or you can get them together at a discount as part of the Certification Bundle.

Upon completing the course you will receive a digital certificate of completion, as well as a digital training badge from Acclaim/Credly. Upon getting certified you will also receive an official Agentic AI Specialist digital accreditation certificate and certification badge from Acclaim/Credly, along with an account that can be used to verify your certification status.

The Agentic AI course is comprised of the following 3 course modules, each of which has an estimated completion time of 10 hours:

  • Module 16: Fundamental Agentic AI
  • Module 17: Advanced Agentic AI
  • Module 18: Agentic AI Lab

Choose the Certification Bundle to receive the entire course together with the online-proctored certification exam and a set of practice exam questions, all at a bundle discount.

Exam Details

Upon purchasing this course, you will automatically receive access via the Online Interactive eLearning platform. To provide you with the greatest flexibility, you will also have the option to access the course materials via two additional eLearning formats, at no extra cost. All three eLearning formats are briefly described below. A more detailed comparison can be found here.
  1. For everyday learning: An online interactive eLearning platform with individual lessons, as well as interactive and automatically graded exercises and practice questions.
  2. For learning on-the-go: A study kit platform with access to full course documents that support online/offline synching, annotations, comments, custom bookmarks and cross-document searches.
  3. For your reference: A set of printable watermarked PDF documents that you can keep (for all course workbooks and posters).
All three forms of access are subject to Arcitura’s *. Upon purchase, access to the online interactive eLearning platform (1) is provided within one business day. Access to the study kits (2) and the PDF documents (3) is provided upon request.

The course is comprised of a set of modules. Each module has a set of lessons and is further supplemented with exercises to help reinforce your understanding of key topics. Shown below are the digital contents and the topic outline for each course module:


Module 16: Fundamental Agentic AI

This course module establishes the core concepts behind intelligent AI agents that can perceive, reason and act autonomously. Key components of agentic systems are covered, including agentic system components, as well as agent types (such as reactive, deliberative and hybrid). The module also explains essential concepts like environments, sensors, actuators and the agent-environment interaction loop, along with the basics of knowledge representation for agents and how agents plan and make decisions at a high level.


Course Module Contents


  • Workbook Lessons (100+ pages)
  • Interactive Exercises
  • Mind Map Poster

  • Symbol Legend Poster
  • Practice Exam Questions
  • PDFs of Workbook and Posters (printable)

Topics Covered

  • AI Concepts and Systems
  • Understanding AI Agents
  • Distinguishing Agentic AI from Other Types of AI
  • Core Agent Characteristics (Autonomy, Reactivity, Proactiveness, Social Ability)
  • The Concept of “Agency” and Its Implications in AI Systems
  • Perception: Sensors and How Agents Gather Information
  • Reasoning: Internal Processing and Decision-Making

  • Action: Actuators and How Agents Interact with Their Environment
  • The Agent-Environment Interaction Loop
  • Basic Agent Architectures: Simple Reflex Agents, Model-Based Reflex Agents, Goal-Based Agents and Utility-Based Agents
  • Introduction to Knowledge Representation (KR)
  • Basic Planning Algorithms: State-Space Search and Goal Stack Planning
  • Introduction to Decision Theory and Rational Agents
  • Overview of Agent Types

Module 17: Advanced Agentic AI

This course module delves into the complexities and applications of agentic AI by exploring techniques for agent collaboration and coordination, as well as methods for enhancing agent reasoning and decision-making. The module examines planning algorithms, reinforcement learning for policy optimization and techniques for handling uncertainty, and further explains real-world applications of agentic AI across various domains, including robotics, autonomous systems, complex problem-solving and creative tasks. Key challenges are also tackled, including scalability, robustness, interpretability and ethical considerations.


Course Module Contents


  • Workbook Lessons (100+ pages)
  • Interactive Exercises
  • Mind Map Poster

  • Practice Exam Questions
  • PDFs of Workbook and Poster (printable)

Topics Covered

  • Multi-Agent Systems (MAS): Concepts and Benefits
  • Architectures for MAS (Centralized vs. Decentralized Control)
  • Agent Communication Languages (ACLs) and Protocols
  • Coordination and Cooperation in MAS
  • Task Allocation and Distribution, Negotiation Strategies and Conflict Resolution
  • Hierarchical Agent Architectures
  • Advanced Planning Techniques
  • Hierarchical Task Network (HTN)
  • Planning, Planning Under Uncertainty
  • Continuous Planning

  • Introduction to Reinforcement Learning (RL) for Agent Policy Optimization
  • Meta-learning and Transfer Learning in Agentic Systems
  • Explainable AI (XAI) for Understanding Agent Reasoning
  • Agentic AI in the Real World (Robotics and Autonomous Systems, Complex Problem Solving, Creative Industries, etc.)
  • Scalability and Complexity in Large-Scale Agentic Systems
  • Robustness and Reliability of Agentic Systems
  • Verifiability and Validation of Agent Behavior
  • Ethical Implications of Advanced Agentic AI (Bias, Fairness, Transparency)

Module 18: Agentic AI Lab

This course module provides a series of case-study driven, lab-style exercises and problems that are designed to test your ability to apply your knowledge of topics covered in previous modules. Completing this lab helps reinforce understanding of preceding topics and further demonstrates how different practices and technologies can be applied together as part of greater solutions.


Course Module Contents


  • Lab Exercise Booklet
  • Mind Map Poster

  • Practice Exam Questions
  • PDFs of Exercise Booklet and Poster (printable)

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About Arcitura

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What’s in an Arcitura Course

Comprehensive
Coverage

Each course provides a comprehensive curriculum with 2-3 modules and 20-40 hours of training.

More Than Just
Video Lessons

In addition to standard video lessons, courses include full-color workbooks and reference posters for all lessons.

Interactive & Graded
Challenges

Courses also include interactive and graded exercises, interactive and graded self-tests and other supplements.

The Arcitura Difference

EACH COURSE

  • is authored by a dedicated courseware development team
  • has a self-test, accreditation exam and professional certification
  • is available via two different eLearning platforms

ALL COURSES

  • undergo a common development process
  • are authored to be consistent in quality, structure and style
  • share a common vocabulary and symbol notation
  • are authored in collaboration with subject matter experts

Take Your Skills Anywhere

Regardless of whether you are an individual looking to boost your career or an organization looking to up-skill a team, Arcitura courses and certifications provide a sound investment.

Because both courses and accreditations are vendor-neutral, they empower you with skills and credentials that you can take to wherever you need to go.

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Contact info@arcitura.com or 604-904-4100 during PT working hours.