AI Agents Foundation and Practitioner (The Builders) Overview

Course syllabus

Who it’s for

What’s included

Exams

FAQs

AI Agents Foundation and Practitioner Course Outline

Module 1: Architecture of Autonomy

  • Agentic Frameworks
    • What Makes an AI System “Agentic”
    • Differences between Chatbots, Workflows, and Agents
    • Event-Driven vs Goal-Driven Agents
    • State Management in Autonomous Systems
    • Memory Layers within Agent Architecture
  • Linear Prompts vs. Autonomous Loops
    • Single-Response Prompt Design
    • Multi-Step Task Execution
    • Feedback Loops and Iteration Cycles
    • Error Correction within Loops
    • When to use Linear vs Autonomous Designs
  • The Plan → Act → Observe → Reflect Cycle
    • Task Decomposition Techniques
    • Planning Strategies for Complex Objectives
    • Observation and Output Validation
    • Reflection and Self-Correction Methods
    • Iterative Refinement Logic
  • Decision Trees in AI
    • Designing Structured Decision Logic
    • Branching Conditions in Workflows
    • Deterministic vs Probabilistic Decisions
    • Escalation Triggers
    • Risk-aware Branching
  • Giving Agents Structured Reasoning Steps
    • Instruction Layering
    • Constraining Reasoning Paths
    • Preventing Reasoning Drift
    • Output Formatting Enforcement
  • Solving Multi-Part Problems Autonomously
    • Breaking Complex Tasks into Subtasks
    • Task Prioritisation Methods
    • Dependency Handling
    • Result Consolidation Strategies
  • Practical Lab: The Logic Map
    • Mapping an Existing Manual Business Process
    • Identifying Decision Points Suitable for Automation
    • Designing Conditional Logic Flows
    • Defining Failure and Fallback States
    • Designing the Agent's Autonomous Decision Boundaries
    • Creating a Structured Agent Blueprint

Module 2: RAG & The Knowledge Layer

  • Vector Databases & Retrieval-Augmented Generation (RAG)
    • What Vector Embeddings Represent
    • How Similarity Search Works
    • When to use RAG vs Fine-Tuning
    • Knowledge Grounding Strategies
    • Accuracy Improvement Through Retrieval
  • Giving AI a Long-Term Memory
    • Short-Term vs Long-Term Memory Concepts
    • Memory Persistence Strategies
    • Session-Based Memory vs Database Retrieval
    • Context Compression Techniques
  • Semantic Search vs. Keyword Search
    • Embedding-Based Search Logic
    • Relevance Scoring
    • Query Optimisation Techniques
    • Precision vs Recall Trade-Offs
  • Data Preparation for Agent Consumption
    • Cleaning Unstructured Data
    • Chunking Large Documents
    • Removing Redundancy
    • Standardising Document Formatting
  • Structuring PDFs for Retrieval
    • Extracting Clean Text
    • Removing Noise
    • Formatting for Chunk-Based Indexing
    • Improving Retrievability
  • Formatting Internal Wikis and Documentation
    • Creating Structured Headings
    • Designing Searchable Documentation
    • Creating Q&A-Friendly Content
    • Version Control and Updates
  • Practical Lab: The Company Brain
    • Ingesting Large-Scale Documentation
    • Cleaning and Chunking Documents
    • Creating Embeddings and Indexing Logic
    • Building a Knowledge Retrieval System
    • Testing Retrieval Accuracy
    • Achieving Accurate Question-Answering Across Complex Source Material

Module 3: Tool-Calling & Actionability

  • APIs for Non-Coders
    • What APIs are in Simple Terms
    • Request and Response Structure
    • Authentication Basics
    • JSON Structure Overview
    • Rate Limits and Error Handling
  • How Agents Communicate with External Software
    • Function-Calling Logic
    • Trigger-Based Actions
    • Passing Structured Data
    • Validating External Responses
  • Connecting to Platforms such as Salesforce, HubSpot, and Shopify
    • CRM Automation Scenarios
    • Lead Management Workflows
    • Updating Records Autonomously
    • E-commerce Automation use Cases
  • Multi-Agent Orchestration
    • Role-based Agent Design
    • Hierarchical vs Collaborative Agents
    • Task Delegation Models
    • Conflict Resolution Between Agents
  • Designing Manager and Specialist Agent Roles
    • Supervisor Agent Logic
    • Task Routing Mechanisms
    • Quality Assurance Layer
  • Coordinating the Researcher and Writer Agents
    • Research Task Definition
    • Data Validation Checkpoints
    • Content Generation Alignment
    • Output Consolidation
  • Practical Lab: The Automated Researcher
    • Building a Three-Agent Team
    • Designing Role Responsibilities
    • Lead Identification and Company Research
    • Structured Data Extraction
    • Automated Personalised Email Drafting Within a CRM
    • Testing Multi-Agent Coordination

Module 4: Deployment, Safety & Monitoring

  • Guardrails & Ethics
    • Defining Operational Boundaries
    • Ethical Usage Constraints
    • Output Moderation Layers
    • Access Control Principles
  • Preventing Prompt Injection Attacks
    • Recognising Injection Attempts
    • Input Validation Strategies
    • Restricting External Instructions
    • Sandboxing Untrusted Content
  • Eliminating Hallucination and Unintended Actions
    • Output Verification Workflows
    • Confidence Scoring
    • Cross-Check Mechanisms
    • Safe Fallback Responses
  • Human-in-the-Loop (HITL) Design
    • When Human Approval is Required
    • Escalation Thresholds
    • Manual Override Mechanisms
    • Accountability Logging
  • Defining Critical Action Thresholds
    • Financial Transaction Limits
    • Data Modification Controls
    • High-risk Decision Triggers
    • Escalation Policies
  • Building Permission and Approval Checkpoints Into Agent Workflows
    • Role-based Access Design
    • Workflow Approval States
    • Audit trail Creation
    • Compliance Reporting Readiness
  • Practical Lab: Live Deployment
    • Deploying an Agent Into a Sandbox Environment
    • Configuring Guardrails and Permissions
    • Stress Testing With Complex Customer Scenarios
    • Simulating Edge Cases
    • Monitoring, Logging, and Iterating on Agent Behaviour
    • Refining Based on Observed Failures
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Who Should Attend this AI Agents Foundation and Practitioner Course? 

This AI Agents Foundation and Practitioner Course equips delegates with the knowledge required to design and manage AI-driven automation systems. The training is particularly valuable for professionals who want to move beyond using AI tools and begin developing structured AI workflows, including: 

  • Product Managers 
  • Innovation Leaders 
  • Business Analysts 
  • Operations Managers 
  • Automation Specialists 
  • Digital Transformation Professionals 

Prerequisites for the AI Agents Foundation and Practitioner Course 

There are no formal prerequisites for attending the AI Agents Foundation and Practitioner Course. However, basic familiarity with AI tools, digital workflows, or business process automation will support better understanding during the training. 

AI Agents Foundation and Practitioner Course Overview 

AI Agents Foundation and Practitioner Training introduces delegates to the principles of designing and deploying intelligent AI agents. The training focuses on agent architecture, structured reasoning, and knowledge integration to help professionals understand how autonomous AI systems operate. 

This training supports capability development by strengthening skills in automation design, knowledge retrieval systems, and multi-agent collaboration. Delegates learn how AI agents can support research, operational tasks, and digital decision-making across modern organisations. 

This 4-Day AI Agents Course offered by The Knowledge Academy helps delegates design, build, and test AI agents in practical environments. Delegates gain hands-on experience in mapping decision processes, integrating knowledge sources, connecting external tools, and deploying monitored AI workflows. 

AI Agents Foundation and Practitioner Course Objectives 

  • To understand the architecture and reasoning frameworks that enable autonomous AI agents 
  • To design decision workflows using structured planning and reasoning cycles 
  • To build knowledge-driven agents using Retrieval-Augmented Generation (RAG) systems 
  • To connect AI agents with external software platforms and APIs 
  • To deploy, monitor, and manage AI agents responsibly with safety guardrails 

Upon completing this AI Agents Certification, delegates will be able to design, build, and deploy AI agents that support real-world workflows. They will also understand how to manage knowledge systems, integrate tools, and implement safe autonomous operations. 

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What’s Included in this AI Agents Foundation and Practitioner Course? 

  • World-Class Training Sessions from Experienced Instructors 
  • AI Agents Foundation and Practitioner Examination 
  • AI Agents Foundation and Practitioner Certificate 
  • Digital Delegate Pack 
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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AI Agents Foundation and Practitioner (The Builders) Examination

To achieve the AI Agents Foundation and Practitioner Certification, candidates will need to sit for an examination that measures their capability to design, configure, and implement AI-driven workflows and agents. The assessment focuses on applied knowledge of prompt engineering, automation logic, integrations, and safe deployment of AI solutions to solve operational and technical business challenges. The exam format is as follows: 

  • Question Type: Multiple Choice 
  • Total Questions: 60 
  • Total Marks: 60 Marks 
  • Pass Mark: 75%, or 45/60 Marks 
  • Duration: 75 Minutes 
  • Open Book/ Closed Book: Open Book 
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Train Your Workforce

Looking for AI Agents Foundation and Practitioner (The Builders) in-house or onsite training in Mississauga? We specialise in corporate group training and bulk bookings for organisations of all sizes in Mississauga. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling to train your team.

Our Mississauga venue

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Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Mississauga is the sixth largest city in Canada. It is in the south of the province of Ontario in the region of peel. The city is estimated to have a population of around 715,000 people. The rapid growth of this city is attributed to its proximity to Toronto. It was originally built as suburb of Toronto. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Mississauga is served by the Peel District School Board, which operates the secular English speaking public schools. There is also a school board that runs the local catholic schools and a board that runs the French speaking schools in the area, one for the secular French schools and one for the catholic French schools. There are a number of schools in the area that offer specialised programs. These include the French immersion schools such as Clarkson Secondary School and Streetsville Secondary School. There are three schools in the areas that off a Regional Arts Program and two that offer a specialist sci-tech program for students who are gifted in these areas. There is also two schools that offer support for those studying for the international baccalaureate plus numerous other programs. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Mississauga is home to one of the three campuses run by the University of Toronto. This university is ranked as the 34th best university in the world and is the second highest ranked Canadian university in the rankings. The campus was established in 1967 and is the universities second largest division. It is home to 12,000 students. They have 15 academic departments and pupils can choose from 148 programs to participate in from 89 areas of study. Students can study both undergraduate and graduate programs on this campus. This campus also has an excellent research environment that has helped the staff and researchers become internationally recognised for their work. The university includes Institutes for Management and Innovation, and Communication, Culture, Information and Technology.

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Ways to take AI Agents Foundation and Practitioner (The Builders) in Mississauga

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Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led AI Agents Foundation and Practitioner (The Builders). Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

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Join a scheduled class with a live instructor and other delegates.

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Engage in activities, and communicate with your trainer and peers.

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We handpick from a global pool of expert trainers for our Online Instructor-led courses.

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With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.

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Access AI Agents Foundation and Practitioner (The Builders) in Mississauga delivered by one of the largest training providers, with scalable instructor-led classes, accessible worldwide.

Master AI Agents Foundation and Practitioner (The Builders) with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With Weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.

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Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

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Engaging & Interactive Training

Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from AI Agents Foundation and Practitioner (The Builders) industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.

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Expert-Led Course

Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.

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Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.

Learn AI Agents Foundation and Practitioner (The Builders) through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

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Flexible Learning

Access AI Agents Foundation and Practitioner (The Builders) resources 24/7 to maintain steady progress, complete regular assessments or tasks, and upskill effectively alongside work commitments.

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Expert-Developed Content

Our Online Course content is designed by experienced trainers to ensure accuracy, relevance, and practical value.

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Access AI Agents Foundation and Practitioner (The Builders) in Mississauga from a trusted global training provider delivering consistent learning to professionals worldwide.

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Cost-Effective Training

Benefit from the cost-effective AI Agents Foundation and Practitioner (The Builders) that delivers high-quality course content without compromising learning outcomes.

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Interactive LMS

Track performance, download resources, and receive AI-enabled support through The Knowledge Academy’s dedicated Learning Management System.

Package deals for AI Agents Foundation and Practitioner (The Builders) in Mississauga

Our training experts have compiled a range of course packages on a variety of categories in AI Agents Foundation and Practitioner (The Builders), to boost your career. The packages consist of the best possible qualifications with AI Agents Foundation and Practitioner (The Builders), and allows you to purchase multiple courses at a discounted rate.

AI Agents Foundation And Practitioner (The Builders) in Mississauga FAQs

What is the AI Agents Foundation and Practitioner Course?

This course introduces delegates to the principles of building and managing AI agents that can perform tasks autonomously across business workflows.

Who should attend the AI Agents Foundation and Practitioner Course?

The training is ideal for professionals who already use AI tools and want to design more advanced AI-driven automation systems.

Do delegates need coding knowledge for this Agentic AI Course?

No coding experience is required. The Agentic AI Training explains concepts and tools in a way that allows professionals from various backgrounds to participate.

What will delegates learn during this course?

Delegates will learn how to design agent workflows, integrate knowledge sources, connect external systems, and deploy monitored AI solutions.

Will this AI Agents Course include practical activities?

Yes, delegates will participate in labs that involve designing processes, building knowledge systems, creating AI agents, and deploying them in test environments.

How do AI agents differ from standard AI tools?

AI agents are designed to perform tasks autonomously by planning actions, accessing knowledge, and interacting with external systems.

Can delegates apply these concepts within their organisations?

Yes, the course focuses on practical approaches that can support research, operations, and decision-making processes.

What skills will delegates gain after completing this AI Agents Certification?

Delegates will gain skills in agent architecture, knowledge retrieval systems, automation design, and responsible AI deployment.

Why choose The Knowledge Academy in Mississauga over others?

The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this certification.

What is the cost/training fees for AI Agents Foundation and Practitioner (The Builders) in Mississauga?

The training fees for AI Agents Foundation and Practitioner (The Builders) in Mississauga starts from CAD4295

Which is the best training institute/provider of AI Agents Foundation and Practitioner (The Builders) in Mississauga?

The Knowledge Academy is one of the Leading global training provider for AI Agents Foundation and Practitioner (The Builders).

What are the best Artificial Intelligence Courses courses in Mississauga?

Please see our Artificial Intelligence Courses courses available in Mississauga

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