Hi, 
Building and Deploying GenAI Agents for Process Automation
Course
Building and Deploying GenAI Agents for Process Automation
Learn to design, deploy, and manage AI-powered agents that automate real workflows and deliver measurable results. Gain hands-on experience creating scalable, reliable, and adaptive systems that drive business impact.
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
4 weeks
3-4 hours/week
3-4 hours/week
This course will give you the core skills you need to build and manage AI-powered agents that automate real business processes and deliver measurable results. Youll learn how to spot the best opportunities for AI agent automation, design effective multi-step agent workflows, and connect intelligent systems that can scale with your organization.
The course also covers how to design agent architectureswith practical strategies for error handling, monitoring, and optimizingso your automations stay reliable and effective. Youll get hands-on experience coordinating multiple AI agents and services, building end-to-end workflows that streamline processes and minimize manual effort.
Through guided practice and real-world scenarios, youll build the skills to select the right AI tools, track automation performance, and keep improving your systems for ongoing business value. By the end, youll be ready to lead AI agent automation projects, identify the best places to apply intelligent agents, and transform manual processes into scalable, adaptive agent-powered workflows.
This course comprises four purposely designed modules that take you on a carefully defined learning path.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 3-4 hours per week, you will complete the course in 4 weeks. However, as long as the course is completed before the end date, you can work at your own pace.
The materials for each module will become available when you start the particular module. Methods of learning and assessment will include videos, reading material, online exams questions, and a final peer review assignment.
Once you have successfully completed the course, you will earn your Certificate of Completion.
By the end of this course, you will be able to:
- Explain AI agent fundamentals and architecture components, including decision-making models, memory systems, and tool integration patterns.
- Build functional AI agents using no-code platforms to automate business processes with multi-step reasoning and context awareness.
- Describe best practices for deploying and scaling AI agents in production environments.
- Evaluate agent performance and business impact by analyzing workflow efficiency and recommending continuous improvements.
- Business analysts, process managers, and automation engineers
- Tech leads and product managers deploying AI agents
- Professionals familiar with GenAI tools
- At least 2 years of business experience
Course Outline
Video: Welcome to GenAI Agents for Process Automation (3:03)
Reading: Course Overview
Reading: Grading Scheme
Reading: How to Succeed in This Course
Reading: Helpful Tools and Resources
Module Introduction and Learning Objectives
Video: What Is an AI Agent? (3:13)
Video: AI Agents vs AI-powered Automation (2:54)
Reading: Agent Ecosystem: Tools and Platforms Overview
Video: AI Decision-Making Models (4:15)
Video: AI Agent Decision Process (2:52)
Reading: AI Memory and Context Awareness
Video: The 5 Pillars of Agent Architecture (3:53)
Video: Agent Tool Usage and Integration Patterns (3:29)
Reading: Agent State Management and Feedback Systems
Lab: Design an Agent Blueprint
Practice Quiz: Designing AI Agents for Complex Process Automation
Module 1 Summary: Designing AI Agents for Complex Process Automation
Module 1 Graded Quiz: Designing AI Agents for Complex Process Automation
Module Introduction and Learning Objectives
Video: From Agent Design to Implementation (5:38)
Video: Agent Development Lifecycle and Best Practices (5:43)
Reading: Platform Selection Criteria and Setup
Reading: Agent Instruction Design and Prompt Engineering
Lab: Discover Platform Features and Functions
Video: Programming Agent Memory and Context (4:33)
Video: Agent Decision Trees and Logic Flows (5:24)
Reading: Agent Tool Integration Fundamentals
Lab: Configure Your First Agent Setup
Video: Agent Assembly: Bringing Architecture to Life
Video: Testing and Debugging Agent Behavior (6:17)
Reading: Understanding Agent Data: JSON and API Basics
Lab: Build and Test a Simple Agent
Practice Quiz: Building Your First AI Agent
Module 2 Summary: Building Your First AI Agent
Module 2 Graded Quiz: Building Your First AI Agent
Module Introduction and Learning Objectives
Video: Preparing AI Agents for Deployment (4:54)
Video: Best Practices for AI Deployment in Business
Reading: AI Deployment Models and Strategies
Video: Scaling AI Automation Across Teams and Departments (5:32)
Reading: Python Scripting for Agent Management
Video: Common Challenges in AI Scaling and Strategies to Overcome Them (5:19)
Reading: Strategies for Scaling AI-Powered Agent Workflows
Lab: Design a Deployment and Scaling Strategy
Video: Monitoring AI Agent Performance and Debugging Workflows (4:57)
Video: Optimizing AI Automation for Efficiency (5:45)
Reading: AI Performance Tuning and Continuous Improvement Strategies
Reading: Agent Performance Metrics and KPIs
Lab: Analyze AI Workflow Performance and Recommend Improvements
Practice Quiz: Deploying and Scaling AI Agents in Production
Module 3 Summary: Deploying and Scaling AI Agents in Production
Module 3 Graded Quiz: Deploying and Scaling AI Agents in Production
Module Introduction and Learning Objectives
Final Project: Automate a Business Process Using Generative AI
Peer Review: Final Project: Submission and Evaluation
Final Exam: Building and Deploying GenAI Agents for Process Automation
Video: Course Summary (3:02)
Reading: Glossary: Building and Deploying GenAI Agents for Process Automation
Reading: Congratulations and Next Steps
Reading: Thanks from the Course Team
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
This AI agent automation course teaches you how to build and deploy intelligent AI agents that can automate end-to-end business processes. Youll explore GenAI for process automation, understand agent architecture, and apply best practices for scalability, monitoring, and optimization.
Youll gain practical experience in AI process automation trainingincluding agent workflow design, prompt engineering, no-code development, and performance monitoring. This AI agent developer course also helps you master MLOps concepts for managing automation at a scale.
No coding experience is required. The AI agent automation course focuses on no-code tools and visual interfaces, so you can design and manage intelligent process automation without needing prior technical expertise.
This AI automation course is ideal for professionals who want to integrate AI into business operations, managers leading digital transformation, and teams exploring GenAI for process automation to enhance workflow efficiency.
Generative AI agents are systems that can reason, plan, and act to automate tasks. In this AI agent developer course, youll learn how these agents enable intelligent process automation with AI and help businesses operate with greater accuracy and speed.
The AI agent automation course is structured for flexible, self-paced learning and can typically be completed within a few weeks, depending on your schedule and prior to familiarity with automation concepts.
Yes, the AI process automation training includes guided labs where youll build, test, and deploy AI agents using real-world business scenarios. Youll also learn AI agent monitoring and optimization to ensure consistent performance.
Youll earn a shareable Certificate of Completion, demonstrating your ability to design and manage AI-powered agents for real-world automation projects.
The AI agent developer course uses no-code and low-code AI platforms designed for AI agent development and deployment. Youll work with tools that support multi-agent workflow automation and integration with existing systems.
Yes. The AI automation course is fully self-paced, allowing you to balance your AI process automation training with other professional or academic commitments.
Absolutely. The AI agent automation course is tailored for business professionals looking to adopt GenAI for process automation and implement scalable automation within their organizations.
Completing this program can open roles in AI agent development and deployment, automation strategy, or process optimization. Its designed to strengthen your credentials as an automation specialist or AI operations lead.
Unlike general AI training, this AI automation course focuses specifically on building and deploying GenAI agents that manage multi-step reasoning and business process automationequipping you with applied, job-ready skills.
No prerequisites are required. The AI agent automation course introduces all key concepts from the ground up, making it suitable for both beginners and professionals to explore AI process automation training for the first time.
Type of certificate
Certificate of Completion
About this course
04 Modules
05 Skills
Includes
Discussion space
06 Hands-on labs
03 Practice quizzes
03 Graded quizzes
01 Final project
01 Final exam
Create
Agent Blueprint
Simple Agent
Deployment and Scaling Strategy
Exercises to explore
Discover Platform Features and Functions
AI Workflow Performance and Recommend Improvements
This course has been created by
Paul Pardi
Subject Matter Expert - Technical content
Kasie Pardi
Subject Matter Expert - Technical content
Newsletters & Updates
Subscribe to get the latest tech career trends, guidance, and tips in your inbox.