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Anton Voroniuk
This course teaches you how to build practical, high-impact AI agents using platforms like ChatGPT/MyGPTs, Gemini, and ElevenLabs’ Conversational AI. You’ll learn how to turn static automation into agentic workflows that think, adapt, and act with purpose — giving your team superpowers across content, analytics, customer engagement, and campaign execution.
Whether you're a marketer, strategist, business owner, or freelancer, this hands-on course gives you the skills to turn AI tools into strategic teammates — not just helpers.
Read more
This course teaches you how to build practical, high-impact AI agents using platforms like ChatGPT/MyGPTs, Gemini, and ElevenLabs’ Conversational AI. You’ll learn how to turn static automation into agentic workflows that think, adapt, and act with purpose — giving your team superpowers across content, analytics, customer engagement, and campaign execution.
Whether you're a marketer, strategist, business owner, or freelancer, this hands-on course gives you the skills to turn AI tools into strategic teammates — not just helpers.
Read more
This course teaches you how to build practical, high-impact AI agents using platforms like ChatGPT/MyGPTs, Gemini, and ElevenLabs’ Conversational AI. You’ll learn how to turn static automation into agentic workflows that think, adapt, and act with purpose — giving your team superpowers across content, analytics, customer engagement, and campaign execution.
Whether you're a marketer, strategist, business owner, or freelancer, this hands-on course gives you the skills to turn AI tools into strategic teammates — not just helpers.
No previous experience with AI tools is needed — just curiosity and a drive to work smarter. To get the most out of this course, we recommend having an active paid account for ChatGPT.
This course is perfect for:
Marketers ready to integrate AI into real workflows
Team leads and strategists exploring agent-driven automation
Business owners looking to boost output and lower content costs
Creators and freelancers aiming to scale smart, not just hard
Anyone curious about the future of AI in marketing — and how to lead it
You’ll learn how to:
Build and customize agents in ChatGPT and Gemini for daily marketing tasks
Use prompt engineering to shape agent behavior, tone, and output quality
Deploy voice-based agents with ElevenLabs for customer support and engagement
Design multi-step workflows that automate strategy, creation, and feedback loops
Apply real-world use cases: social media content generators, formula helpers, note summarizers, and more
Set ethical boundaries and guardrails to ensure safe, responsible AI deployment
Understand the future of agentic marketing — and how to stay ahead
By the end of this course, you’ll be able to:
Build AI agents that fit into your existing marketing stack
Launch tools that reduce time spent on repetitive tasks
Scale content, research, and customer service with less effort
Develop better prompts and agent instructions for consistent results
Think strategically about AI ethics, risks, and performance monitoring
Lead your team or business into the next era of AI-powered marketing
AI won’t replace marketers — but marketers who use AI agents effectively will outperform those who don’t.
Ready to launch your first agent?
Enroll now and take the lead in the future of marketing.
Register for this course and see more details by visiting:
OpenCourser.com/course/fwtsge/ai
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What's inside
Syllabus
Understanding AI Agents in the Marketing Landscape
This module explores how AI agents transform marketing workflows, from strategy to execution.
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Syllabus
Understanding AI Agents in the Marketing Landscape
This module explores how AI agents transform marketing workflows, from strategy to execution.
Read more
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Activities
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AI Agents 101: Tools for Marketing & Business.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete AI Agents 101: Tools for Marketing & Business will develop knowledge and skills
that may be useful to these careers:
Prompt Engineer
Prompt Engineer
A Prompt Engineer specializes in designing, refining, and optimizing prompts for large language models and AI agents to achieve specific outputs. This course offers a significant advantage for aspiring Prompt Engineers, as 'Prompt Engineering for AI Agents' is a core module. Learners gain a deep understanding of how to craft effective prompts to shape AI agent behavior, tone, and output quality specifically for marketing tasks. The practical application in use cases like social media content generators and formula helpers provides direct experience in developing better prompts and agent instructions for consistent, high-impact results, which is central to this specialized role.
Marketing Automation Specialist
Marketing Automation Specialist
A Marketing Automation Specialist implements and manages systems that automate marketing tasks to improve efficiency and lead nurturing. This course is a perfect fit for a Marketing Automation Specialist, as its core objective is to teach how to build practical, high-impact AI agents that transform static automation into intelligent, adaptive workflows. The specialist will learn to integrate these AI agents into existing marketing stacks, reducing time spent on repetitive tasks and enabling efficient scaling of content, research, and customer service. Mastery of prompt engineering ensures that automated outputs are consistent and effective, aligning with strategic goals.
Content Marketing Specialist
Content Marketing Specialist
A Content Marketing Specialist is responsible for creating, publishing, and distributing valuable content to attract and retain a clearly defined audience. This course empowers a Content Marketing Specialist to dramatically scale their output and enhance personalization by mastering the creation of AI agents for content generation. The hands-on modules on prompt engineering are particularly relevant, enabling the specialist to shape agent behavior, tone, and output quality to align with brand voice and strategic goals. Specific use cases like social media content generators and note summarizers directly translate into practical skills for streamlining daily content tasks.
Marketing Operations Manager
Marketing Operations Manager
A Marketing Operations Manager focuses on optimizing marketing processes, leveraging technology to enhance efficiency, and ensuring strategic alignment. This course directly supports the Marketing Operations Manager by teaching how to build and deploy practical, high-impact AI agents into existing marketing stacks. Learners gain expertise in turning static automation into agentic workflows, which is crucial for scaling content, analytics, customer engagement, and campaign execution. Understanding prompt engineering from this course also helps ensure consistent, high-quality output from AI tools, leading to smarter execution and increased productivity within the marketing department.
Digital Marketing Strategist
Digital Marketing Strategist
A Digital Marketing Strategist designs and implements comprehensive online marketing plans to achieve business objectives. This course is highly relevant for a Digital Marketing Strategist, as it teaches how to automate strategy, creation, and feedback loops using multi-step agentic workflows. By learning to build and customize AI agents with platforms like ChatGPT and Gemini, strategists can unlock new levels of personalization and productivity in campaigns. The course's focus on understanding the future of agentic marketing also ensures that strategists can lead their teams into the next era of AI-powered marketing, staying ahead of industry trends.
Business Owner
Business Owner
A Business Owner is responsible for the overall strategy, operations, and growth of their company. This course is explicitly designed for Business Owners looking to boost output and lower content costs. By learning to build and deploy practical AI agents, a Business Owner can turn AI tools into strategic teammates, not just helpers. This allows for scaling content, research, and customer service with less effort, directly impacting productivity and operational efficiency. The strategic insights into AI ethics and future trends also equip owners to lead their businesses effectively in an AI-powered landscape.
Freelance Marketing Consultant
Freelance Marketing Consultant
A Freelance Marketing Consultant advises clients on marketing strategies and executes campaigns to achieve their business objectives. This course is highly beneficial for a Freelance Marketing Consultant, especially for those aiming to scale smart, not just hard. The ability to build and customize AI agents offers a powerful edge, allowing consultants to deliver advanced, AI-driven solutions for various client needs, from content creation to customer engagement. Mastering prompt engineering means consistent, high-quality deliverables. This expertise enables consultants to expand their service offerings, manage more projects efficiently, and position themselves as leaders in AI-powered marketing solutions.
Artificial Intelligence Integration Specialist
Artificial Intelligence Integration Specialist
An Artificial Intelligence Integration Specialist focuses on deploying AI solutions within an organization, ensuring they align with business needs and technical infrastructures. This course provides an Artificial Intelligence Integration Specialist with practical, hands-on experience in building and customizing AI agents using platforms like ChatGPT and Gemini. The emphasis on integrating AI agents into existing marketing stacks, designing multi-step workflows, and setting ethical boundaries and guardrails for safe deployment, makes this course particularly relevant. It equips the specialist to not only deploy AI tools but also to ensure they act with purpose and responsibility within a business context.
Customer Engagement Specialist
Customer Engagement Specialist
A Customer Engagement Specialist focuses on building and maintaining strong relationships with customers, often through various communication channels. This course significantly enhances the capabilities of a Customer Engagement Specialist by providing the skills to deploy voice-based agents with ElevenLabs for advanced customer support and personalized interactions. Learners master turning static automation into proactive, adaptive agentic workflows, which can greatly improve customer experience. The ability to customize agents to understand customer needs and respond appropriately helps deepen engagement and efficiently scale customer service efforts.
Social Media Manager
Social Media Manager
A Social Media Manager develops and executes strategies for social media channels, including content creation, community management, and performance analysis. This course helps a Social Media Manager by providing the specific skills to build AI agents for social media content generation. Learners will gain proficiency in prompt engineering to shape the tone and quality of AI-generated posts, ensuring brand consistency and engagement. The ability to design multi-step workflows means the manager can automate aspects of content planning, creation, and scheduling, allowing for smarter, more efficient execution of social media campaigns and freeing up time for strategic community interaction.
Product Marketing Manager
Product Marketing Manager
A Product Marketing Manager is responsible for bringing products to market, understanding customer needs, and driving adoption. This course may be helpful for a Product Marketing Manager by enabling the use of AI agents for market research aggregation, content creation for product launches, and analyzing customer feedback to refine product messaging. The skills in building and customizing AI agents for daily marketing tasks, coupled with prompt engineering, can support the rapid development of compelling product narratives and educational materials. Understanding the ethical boundaries of AI deployment also assists in responsible product communication.
Marketing Researcher
Marketing Researcher
A Marketing Researcher gathers and analyzes information about market conditions, consumer behavior, and competitors to help inform marketing strategies. This course may be helpful for a Marketing Researcher by enabling them to build AI agents that can assist in collecting, summarizing, and synthesizing vast amounts of information. The course highlights how AI agents can 'scale content, research, and customer service with less effort,' making research processes more efficient. Utilizing prompt engineering skills, a researcher can guide AI agents to extract specific data points, identify trends, and compile comprehensive reports, significantly enhancing their research capabilities and speed.
Analytics Specialist Marketing
Analytics Specialist Marketing
An Analytics Specialist Marketing collects, analyzes, and interprets data to optimize marketing performance and inform strategic decisions. This course may be helpful for an Analytics Specialist Marketing by showing how AI agents can assist in processing large datasets, summarizing key insights, and automating repetitive reporting tasks, allowing for more time on strategic analysis. The course's mention of 'giving your team superpowers across content, analytics, customer engagement' directly correlates with leveraging AI for data-driven marketing. Learners also develop a strategic understanding of AI performance monitoring, which is crucial for ensuring the reliability and effectiveness of analytical processes.
Search Engine Optimization Specialist
Search Engine Optimization Specialist
A Search Engine Optimization Specialist works to improve a website's visibility on search engines, focusing on keyword research, content optimization, and technical SEO. This course may be helpful for a Search Engine Optimization Specialist by providing tools to build AI agents for aspects of content creation and competitive research. The ability to use prompt engineering to shape content quality and ensure relevance can be applied to generating SEO-friendly articles, meta descriptions, and keyword variations. By automating parts of content strategy and research, the specialist can scale their efforts to improve organic search performance more efficiently.
Artificial Intelligence Trainer
Artificial Intelligence Trainer
An Artificial Intelligence Trainer is responsible for educating individuals and teams on how to effectively use and implement AI tools within an organization. For an Artificial Intelligence Trainer focused on business applications, this course may be helpful. It provides practical, hands-on experience in building and deploying AI agents using popular platforms like ChatGPT and Gemini for specific marketing and business scenarios. The emphasis on ethical boundaries, guardrails, and responsible AI deployment is crucial for teaching safe and effective use. By understanding how to turn AI tools into strategic teammates, the trainer can guide others in integrating these agents into their daily workflows.
For more career information including salaries, visit:
OpenCourser.com/course/fwtsge/ai
Reading list
We haven't picked any books for this reading list yet.
Provides a gentle introduction to machine learning, focusing on the most important concepts and algorithms. It good choice for readers who are new to the field.
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Comprehensive guide to deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It must-read for anyone who wants to learn about deep learning.
Classic introduction to reinforcement learning, covering topics such as Markov decision processes, value functions, and Q-learning. It valuable resource for anyone who wants to learn about reinforcement learning.
Provides a broad overview of AI, covering topics such as knowledge representation, reasoning, and planning. It good choice for readers who are interested in the philosophical foundations of AI.
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Explores the potential of AI to revolutionize various aspects of our lives, from healthcare to finance.
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Explores the ethical and philosophical implications of AI, and how it will affect our understanding of what it means to be human.
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Explores the potential risks and benefits of AI, and how we can ensure that AI is used for good.
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Provides a comprehensive overview of machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning.
Provides a comprehensive overview of pattern recognition and machine learning, covering topics such as Bayesian inference, neural networks, and support vector machines.
Provides a gentle introduction to AI, focusing on the most important concepts and algorithms. It good choice for readers who are new to the field.
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Dives deep into the complexities of systems with multiple interacting agents. It covers algorithmic, game-theoretic, and logical foundations, which are crucial for understanding how agents behave and coordinate in complex environments. It valuable reference for those looking to deepen their understanding beyond single-agent systems.
Reinforcement learning key paradigm for developing intelligent agents that can learn to make sequential decisions by interacting with their environment. is the classic text on the subject, providing a comprehensive introduction to the core concepts and algorithms used in training agents. It must-read for anyone focusing on learning agents.
Provides a solid introduction to the field of multiagent systems, covering key concepts, architectures, and applications. It's more accessible than some of the deeper theoretical texts and serves as an excellent starting point for understanding the principles behind multiple interacting intelligent agents.
Delves into the logical foundations for reasoning about the properties and behavior of rational agents, particularly focusing on the Belief-Desire-Intention (BDI) model. It is more theoretical and suited for those who want to understand the formal underpinnings of agent systems.
This textbook presents AI as the study of intelligent computational agents, providing a unified vision of the field's foundations. It covers a wide range of AI topics through the lens of agents, making it highly relevant for understanding the subject broadly. The latest edition includes updates on recent AI advances like deep learning.
Offers a practical approach to designing and implementing single and multi-agent systems, particularly in the context of generative AI. It helps bridge the gap between theoretical concepts and real-world deployment of AI agents. It is highly relevant for understanding contemporary applications.
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Focusing on building LLM-powered autonomous agents, this book provides a practical framework for developing agents that can handle real-world tasks. It covers using tools like the OpenAI Assistants API and LangChain, making it very relevant for contemporary agent development.
Explores the potential of generative AI agents, focusing on building creative systems. It discusses AI-augmented creativity and the ethical implications of AI in creative fields. It's relevant for understanding a specific, cutting-edge application area of AI agents.
Provides a comprehensive overview of AI, covering topics such as machine learning, natural language processing, and computer vision. It is also written in a clear and concise style, making it accessible to readers of all levels.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fwtsge/ai
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Effort
7 hours
Level
Introductory
Via
Coursera
Institution
SkillsBooster Academy
Instructor
Anton Voroniuk
Session
October 27, 2025
- December 15, 2025
Language
English
Transcript
Español
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