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AI+ Agent Specialty™

Name: AI+ Agent Specialty™
Brand: Learning People
Price: 149.00 GBP
Availability: InStock

The AI+ Agent Specialty™ course by AI CERTs® is a foundational certification program designed to equip professionals with practical skills to design, deploy, scale, and govern autonomous AI agents and automated workflows for real-world enterprise applications.

Course Overview

Empower Automation with AI+ Agent Specialty™ for intelligent, efficient task execution

Beginner-Friendly Pathway: Perfect for learners stepping into the world of AI agents, offering simple, structured guidance for confident skill-building
Immersive Learning Experience: Combines essential AI agent fundamentals, intuitive tools, and real-world workflows to help you understand, build, and deploy automated agents
Action-Oriented Skill Development: Features practical exercises, scenario-based tasks, and guided projects so you can design, optimise, and showcase high-performance AI agents with ease

Certification overview:

Included Items: Instructor-led OR Self-paced course + Official exam + Digital badge

Certificate Duration:

Instructor-Led: 1 day (live or virtual)
Self-Paced: 8 hours of content

Prerequisites: Basic understanding of AI concepts, programming knowledge in Python or similar languages, and foundational data analysis skills. Perfect for learners with a problem-solving mindset who want to apply analytical thinking to real-world AI challenges and intelligent agent development.

Exam Format: 50 questions, 70% passing, 90 minutes, online proctored exam

Why this certification matters:

Industry Recognition: A specialised credential that signals strong capability in AI agent design, deployment, and management. Career Differentiation: A standout addition to your profile that highlights expertise in AI-powered automation and intelligent workflows. Hands-on Proficiency: Demonstrated experience using agent-building tools, frameworks, and best practices to solve real problems. Business Value Creation: Proven ability to build agents that streamline operations, elevate customer experiences, and drive measurable ROI. Future-ready Skill Set: Strong alignment with the growing demand for AI agents across industries, keeping your skills relevant and competitive.

Who should enrol:

Aspiring AI Professionals: Learners looking to break into AI by building practical experience with intelligent agents and automation.

Software Developers & Engineers: Python or similar language programmers who want to design, integrate, and deploy AI agents into real applications.

Data Analysts & Data Scientists: Professionals who work with data and want to operationalise insights through AI-driven agents and workflows.

Product Managers & Tech Leaders: Decision-makers aiming to understand, plan, and oversee AI agent solutions that enhance products and services.

Automation & Operations Specialists: Those focused on process optimisation who want to replace repetitive tasks with smart, autonomous AI agents.

Tools You'll Master

Python

LangChain

LlamaIndex

OpenAI API

Hugging Face Inference

Multi-Agent Orchestration Frameworks

Vector Databases (e.g., Pinecone, Chroma)

Workflow Orchestration (e.g., Airflow, Prefect)

Jupyter Notebooks

Docker

Prompt Engineering Platforms

Certification Modules

Module 1: Introduction to AI Agents

1.1 Understanding AI Agents

1.2 Anatomy and Ecosystem of AI Agents

1.3 Applications, Misconceptions, and Mini Case Studies

1.4 Case Study: Transforming Customer Support at Acme Retail with AI Agents

1.5 Hands-On Exercise 1: Build a Q&A ChatBot Using Gemini + Prompt + LLM Chain in Flowise Cloud

Module 2: Core Concepts & Types of AI Agents

2.1 Anatomy of an AI Agent

2.2 Classification of AI Agents

2.3 Matching Agents to Use Cases

2.4 Case Study: Enhancing Mental Health Support with AI Agents at Earkick

2.5 Hands-On Exercise

Module 3: Tools for Non-Coders

3.1 No-code and visual agent platforms

3.2 Tools Overview and Setup

3.3 Start building: “Your First Flow” with n8n

3.4 Case Study: Empowering HR with AI – Building an Onboarding Assistant Without Coding

3.5 Hands-on Exercise

Module 4: Building Simple Agents

4.1 Agent 1

4.2 Agent 2

4.3 Agent 3

4.4 Agent 4

4.5 Troubleshooting and Validation of AI Agents

4.6 Share Your AI Agent

4.7 Hands-On Exercise 1

Module 5: Multi-Tool Agents and Workflow Automation

5.1 Multi-Tool Agents

5.2 Agent Chaining and Workflow Basics

5.3 Managing Agent State: State, Context, and User Journey

5.4 Prompt Engineering for Agents

5.5 Multi-Agent Systems (MAS)

5.6 Case Study: Smarter Marketing Campaigns with Tool Chaining

5.7 Hands-on Exercise: Automating Order Tracking and Notifications with Make.com

Module 6: Integration, Application Mapping & Deployment

6.1 Deploying Agents

6.2 Channel Selection – Where the User will Interact

6.3 Hosting Environment – Where does the Agent Run?

6.4 Data Integration

6.5 Security Setup

6.6 Monitoring & Updates

6.7 Application Mapping

6.8 Hands-on Exercise 1: Integration of a Portfolio Assistant Chatbot into GitHub Pages using Zapier

Module 7: Monitoring, Guardrails & Responsible AI

7.1 Observability Basics

7.2 Performance Evaluation: Key Metrics

7.3 Guardrails: Preventing Misuse & Ensuring Safe Outputs

7.4 Responsible AI

7.5 Mini-Case: Failure and Recovery in Agent Deployments

7.6 Real-world Failures

7.7 Peer Sharing: How to Present and Discuss Agent Logs/Results

Module 8: Capstone Project – Design Your Own Intelligent Agent

8.1 Capstone Project 1: Smart Personal AI Assistant

8.2 Capstone Project 2: Smart Lead Engagement – From Email to Personalised Outreach – Sales Support Agent

8.3 Capstone Project 3: Education Tutor Agent

8.4 HR Knowledge Bot

8.5 Customer Service Agent

8.6 Healthcare Triage Bot

Frequently Asked Questions

What core industry problems does the AI+ Agent™ training solve?

This course is engineered to help you solve real-world operational inefficiencies by integrating advanced machine learning tools into your daily workflow. You will learn to automate tedious data processing, construct predictive models, and optimize systemic outputs specific to this domain. By learning these practical automation skills, you immediately boost your daily professional output and elevate your long-term career value.

Are the tools and software platforms taught in this course accessible to beginners?

The curriculum is structured logically to support clean career progression, moving from essential concepts to advanced configurations. While technical tracks introduce deeper code integrations, our industry-specific modules utilize user-friendly enterprise interfaces and pre-trained prompt systems. This balanced approach ensures you can comfortably master the curriculum, acquire highly sought-after skills, and earn your digital record badge without frustration.

How will completing this self-paced course help upgrade my professional CV?

Completing this training demonstrates to modern employers that you possess practical, forward-looking expertise in artificial intelligence integration. Your profile will stand out with specialized technical capabilities, showing you can actively deploy automation, reduce operational costs, and manage digital workflows. This enables you to confidently pursue high-tier promotions, transition into modern tech roles, and take your career to the absolute next level.