25 Essential AI Courses for User Support Specialists in 2025

As artificial intelligence (AI) continues to expand its reach across various industries, its influence on the user support sector becomes increasingly significant. For User Support Specialists, who are often at the frontline of customer interaction and problem-solving, the integration of AI presents both challenges and opportunities. Upskilling in AI is no longer optional but essential, as the technology reshapes traditional job roles and processes. This article aims to guide User Support Specialists in selecting the most relevant AI courses to enhance their skills and maintain their professional edge.

Why AI matters for User Support Specialists today

AI's role in business operations is growing at an unprecedented rate. According to recent data, 69% of businesses are currently utilizing AI in some form, underscoring its pervasive adoption. For User Support Specialists, understanding AI technologies can lead to more efficient workflows and superior customer experiences. The purpose of this article is to help professionals in this field identify the best AI courses that will equip them with the necessary skills to thrive in a technology-driven environment.

The Growing Role of AI in User Support Specialists

AI applications are increasingly integrated into user support functions, ranging from automation of routine tasks to enhanced decision-making capabilities. Automation tools powered by AI can handle repetitive queries, freeing up specialists to focus on complex issues. AI also enables personalization in customer interactions, providing tailored solutions and improving satisfaction. These technologies are not only reshaping tasks but also transforming workflows, making it crucial for User Support Specialists to adapt and enhance their AI proficiency.

Benefits of becoming an AI expert in User Support Specialists

Becoming proficient in AI offers numerous advantages for User Support Specialists. By acquiring AI skills, professionals can improve their efficiency, reduce response times, and increase customer satisfaction. Additionally, AI expertise can open up avenues for career advancement and make specialists more competitive in the job market. Understanding AI technologies can lead to innovative solutions and improved service delivery, ultimately benefiting both the specialists and the organizations they work for.

This article will provide a comprehensive comparison of 25 AI courses tailored for User Support Specialists, including CompleteAI Training, AI Crash Course by Section AI, and various courses offered by IBM via Coursera. Each course is designed to enhance the AI capabilities of professionals, ensuring they remain relevant and effective in their roles. By exploring these educational opportunities, User Support Specialists can navigate the evolving landscape of their profession with confidence and competence.

Comparison: All AI Courses for User Support Specialists (Updated Q2' 2025)

Course Name	Provider	Price	Key Topics	Pros	Cons	Best For
AI for User Support Specialists	CompleteAI Training	$29/month (monthly subscription), $8.25/month billed annually (yearly subscription)	Specialized video courses, Certifications, AI tools updates, Industry news	Highest rating, Extensive range, Daily updates, Affordable pricing	Subscription based	User Support Specialists professionals
AI Crash Course	Section AI	Included with AI Academy membership or standalone	AI landscape, Foundational concepts	Short, Expert-led	Introductory level only	General learners
Intro to AI Prompt Writing	Section AI	Included with AI Academy membership	Crafting effective prompts	Practical skills	Requires basic familiarity with AI	General learners
Integrating AI into Team Workflows	Section AI	Included with AI Academy membership	Generative AI, Team productivity	Focus on practical applications	May require organizational context	General learners
AI For Everyone	DeepLearning.AI (via Coursera)	Free to start, option to pay for certificate	AI capabilities, Business integration	No prerequisites, Accessible	Not technical	General learners
Introduction to Artificial Intelligence (AI)	IBM via Coursera	Free to start, option to pay for certificate	AI fundamentals, Business transformation	Highly rated, Broad range of topics	May require additional practice	General learners
Generative AI: Prompt Engineering Basics	IBM via Coursera	Free to start, option to pay for certificate	Generative AI, Prompt engineering	Beginner-friendly, Practical skills	Short duration	General learners
AI Foundations for Everyone (Specialization)	IBM via Coursera	Free trial, subscription for full access (~$39/month)	AI skills, Ethics	Wide range of topics, Good ratings	Requires longer commitment	General learners

Understanding AI Training for User Support Specialists Professionals

As AI technology continues to mature, User Support Specialists are increasingly required to integrate AI tools into their workflows. Training courses have emerged to help these professionals develop the necessary skills to effectively utilize AI technologies. This comparison article examines various AI courses tailored for User Support Specialists, evaluating their offerings, costs, and suitability for different learning needs.

Course 1: CompleteAI Training

CompleteAI Training offers a vast library of over 100 video courses and certifications specifically designed for User Support Specialists. Subscribers benefit from comprehensive AI education, daily updates on new AI tools, and industry news pertinent to their field. The platform is subscription-based, offering monthly and annual billing options, making it accessible and cost-effective for continuous learning.

Key Topics Covered: AI tools for user support, industry news updates, AI certifications.

Target Audience and Skill Level Requirements: User Support Specialists seeking specialized AI education; suitable for beginners to advanced learners.

Pros:
• Extensive range of courses and certifications.
• Daily updates on AI tools and news.
• Affordable pricing, especially with annual billing.

Cons:
• Requires continuous subscription for ongoing learning.

Who Would Benefit Most: User Support Specialists looking for a comprehensive and affordable AI education platform with frequent updates.

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Course 2: AI Crash Course by Section AI

Section AI's AI Crash Course provides a fast-paced introduction to the AI landscape, focusing on foundational concepts. This workshop is ideal for busy professionals who need to quickly become confident in AI applications. It is included with AI Academy membership or available as a standalone workshop.

Key Topics Covered: Introduction to AI concepts, foundational AI knowledge.

Target Audience and Skill Level Requirements: Beginners seeking a quick overview of AI; no prior experience required.

Pros:
• Short and expert-led.
• Great for foundational understanding.

Cons:
• Only covers introductory topics.

Who Would Benefit Most: User Support Specialists who need a quick and basic understanding of AI.

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Course 3: Intro to AI Prompt Writing by Section AI

This course focuses on crafting effective prompts to enhance AI outputs, an essential skill for User Support Specialists working with chatbots or virtual assistants. Included with AI Academy membership, it provides practical skills necessary for daily AI interactions.

Key Topics Covered: Prompt crafting, AI interaction techniques.

Target Audience and Skill Level Requirements: Those familiar with basic AI concepts; practical focus suitable for all levels.

Pros:
• Practical skills for improving AI outputs.

Cons:
• Assumes some familiarity with AI.

Who Would Benefit Most: User Support Specialists aiming to enhance their interaction with AI tools.

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Course 4: Integrating AI into Team Workflows by Section AI

This course teaches how to leverage generative AI to boost team productivity, making it relevant for User Support Specialists in collaborative environments. Offered through AI Academy membership, it emphasizes practical applications for optimizing workflows.

Key Topics Covered: Generative AI, team productivity enhancement, workflow optimization.

Target Audience and Skill Level Requirements: User Support Specialists in team settings; requires basic organizational context.

Pros:
• Focuses on practical team applications.

Cons:
• May require understanding of organizational workflows.

Who Would Benefit Most: Specialists working in teams who want to integrate AI into their workflows.

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Course 5: Using AI Responsibly by Section AI

Focusing on ethical AI deployment, this course covers data privacy, AI hallucinations, and bias, crucial for User Support Specialists to understand. It is part of the AI Academy membership.

Key Topics Covered: Data privacy, AI ethics, responsible AI use.

Target Audience and Skill Level Requirements: User Support Specialists interested in ethical AI deployment; suitable for all levels.

Pros:
• Essential for ethical AI deployment.

Cons:
• More conceptual than technical.

Who Would Benefit Most: User Support Specialists committed to ethical and responsible AI use.

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Course 6: Building Agents with Microsoft Copilot Studio by Section AI

This course guides learners in designing AI-powered agents with Microsoft Copilot Studio, suitable for User Support Specialists interested in creating AI assistants. It is available through AI Academy membership.

Key Topics Covered: AI agent design, Microsoft Copilot tools, automation of support workflows.

Target Audience and Skill Level Requirements: Intermediate learners with an interest in technical applications.

Pros:
• Hands-on experience with enterprise AI tools.

Cons:
• Requires technical interest and some prior knowledge.

Who Would Benefit Most: User Support Specialists aiming to develop AI-driven support tools.

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Course 7: AI For Everyone by DeepLearning.AI (via Coursera)

This beginner-friendly course provides a broad overview of AI capabilities and future prospects, making it ideal for User Support Specialists seeking AI literacy. It is free to start, with an option to pay for a certificate.

Key Topics Covered: AI capabilities, business integration, societal impact of AI.

Target Audience and Skill Level Requirements: Suitable for beginners; no technical prerequisites required.

Pros:
• Accessible to non-technical learners.
• Focus on AI literacy and business integration.

Cons:
• Not technical; does not teach programming or AI development skills.

Who Would Benefit Most: Those new to AI looking for a broad understanding of its impact on business and society.

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Course 8: Introduction to Artificial Intelligence (AI) by IBM via Coursera

IBM's course covers fundamental AI concepts, including machine learning and ethical standards, aimed at helping learners understand AI's role in business transformation. It is free to start, with a certificate option available.

Key Topics Covered: Large language modeling, generative AI, machine learning, ethics.

Target Audience and Skill Level Requirements: Suitable for beginners; may need additional practice for hands-on skills.

Pros:
• Comprehensive overview of AI topics.
• Suitable for beginners.

Cons:
• May require further courses for practical skills.

Who Would Benefit Most: Beginners interested in exploring AI fundamentals and its applications.

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Course 9: Generative AI: Prompt Engineering Basics by IBM via Coursera

This course is designed to teach effective interaction with generative AI models like ChatGPT, which is highly relevant for User Support Specialists optimizing AI-driven chatbots. It is free to start, with a certificate option available.

Key Topics Covered: Prompt engineering, generative AI models, AI-driven chatbot optimization.

Target Audience and Skill Level Requirements: Beginners looking to enhance practical skills in prompt engineering.

Pros:
• Beginner-friendly and practical.
• Highly rated by learners.

Cons:
• Short duration; may need further learning for depth.

Who Would Benefit Most: User Support Specialists who want to optimize AI interactions.

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Course 10: AI Foundations for Everyone (Specialization) by IBM via Coursera

This specialization builds foundational AI skills, including prompt engineering and AI ethics, suitable for those seeking a comprehensive understanding of AI technologies. A free trial is available, with a subscription required for full access.

Key Topics Covered: AI foundations, prompt engineering, machine learning, AI ethics.

Target Audience and Skill Level Requirements: Beginners to intermediate learners; requires a 3-6 month commitment.

Pros:
• Comprehensive coverage of AI topics.
• Good learner ratings.

Cons:
• Requires a longer commitment.

Who Would Benefit Most: Those seeking a solid foundation in AI over a longer learning period.

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Course 11: AI For Business (Specialization) by University of Pennsylvania via Coursera

This specialization focuses on applying AI in business contexts, including customer data management and risk management. It helps User Support Specialists align their services with AI-driven business goals. A free trial is available, with a subscription required for full access.

Key Topics Covered: Business applications of AI, customer relations, AI-driven business goals.

Target Audience and Skill Level Requirements: Business-focused learners; more strategic than technical.

Pros:
• Practical applications in business.
• Focus on customer relations.

Cons:
• More strategic and less technical.

Who Would Benefit Most: Specialists wanting to understand AI's role in business strategy.

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Course 12: Fundamentals of Machine Learning and Artificial Intelligence by Amazon Web Services via Coursera

This course introduces machine learning and AI fundamentals with a focus on AWS tools, useful for User Support Specialists keen on understanding the technical underpinnings of AI systems. It is free to start, with a certificate option available.

Key Topics Covered: AWS tools, machine learning fundamentals, AI applications.

Target Audience and Skill Level Requirements: Technical learners interested in AWS; more technical than purely support-focused roles.

Pros:
• Hands-on AWS focus.
• Good for technical upskilling.

Cons:
• May be more technical than needed for support roles.

Who Would Benefit Most: Those interested in the technical aspects of AI systems.

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Course 13: Microsoft AI & ML Engineering (Professional Certificate) by Microsoft via Coursera

This intermediate-level professional certificate covers AI and machine learning engineering, including natural language processing and cloud infrastructure. It is designed for those with prior knowledge, offering a free trial and requiring a subscription for full access.

Key Topics Covered: AI engineering, natural language processing, cloud infrastructure.

Target Audience and Skill Level Requirements: Intermediate learners with prior AI experience.

Pros:
• Comprehensive and industry-recognized.
• Practical skills in AI engineering.

Cons:
• Requires prior knowledge.

Who Would Benefit Most: Specialists with some AI background aiming to advance in AI engineering.

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Course 14: IBM AI Product Manager (Professional Certificate) by IBM via Coursera

This course focuses on AI product management, covering prompt engineering and stakeholder management, making it useful for support specialists involved in AI product support. A free trial is offered, with a subscription required for full access.

Key Topics Covered: AI product lifecycle, prompt engineering, product management.

Target Audience and Skill Level Requirements: Managers and support roles interfacing with AI products; more managerial focus.

Pros:
• Focus on AI product lifecycle management.
• Practical for support roles.

Cons:
• Less technical depth.

Who Would Benefit Most: Those managing or supporting AI products.

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Course 15: IBM AI Developer (Professional Certificate) by IBM via Coursera

Focusing on AI development skills, this course covers prompt engineering and tools like Flask and Python, suited for those wanting to develop AI-driven support tools. It offers a free trial, with a subscription required for full access.

Key Topics Covered: AI development, software development lifecycle, Python tools.

Target Audience and Skill Level Requirements: Learners with programming knowledge; practical development focus.

Pros:
• Practical AI development skills.
• Widely applicable tools.

Cons:
• Requires programming knowledge.

Who Would Benefit Most: Those interested in developing AI tools and applications.

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Course 16: Artificial Intelligence Nanodegree by Udacity

This course covers foundational AI techniques with practical projects, suitable for beginner to intermediate learners. It is priced at approximately $1017 for 3 months.

Key Topics Covered: AI fundamentals, practical projects like sudoku solver.

Target Audience and Skill Level Requirements: Beginners to intermediate learners interested in hands-on projects.

Pros:
• Strong foundational AI knowledge.
• Hands-on projects to reinforce learning.

Cons:
• Higher cost.

Who Would Benefit Most: Those seeking a project-based approach to learning AI.

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Course 17: Computer Science for Artificial Intelligence Professional Certificate by Harvard (via edX)

This intermediate-level certificate focuses on computer science fundamentals essential for AI, with challenging projects like AI game development. The cost ranges from free to $348.

Key Topics Covered: Programming, algorithms, AI concepts.

Target Audience and Skill Level Requirements: Intermediate learners with prior coding knowledge.

Pros:
• Strong computer science foundation.
• High-quality instruction and active community.

Cons:
• Requires prior coding knowledge.

Who Would Benefit Most: Those with coding experience seeking to delve into AI.

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Course 18: LangChain - Develop LLM powered applications with LangChain by Udemy

This intermediate course is designed for Python programmers to build advanced LLM applications, priced at $89.99. It covers practical projects like building AI assistants.

Key Topics Covered: LLM application development, practical Python projects.

Target Audience and Skill Level Requirements: Python programmers; more developer-focused.

Pros:
• Hands-on with cutting-edge LLM tech.
• Excellent production quality and instructor support.

Cons:
• Requires Python programming skills.

Who Would Benefit Most: Developers seeking to build advanced AI applications.

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Course 19: Large Language Models Professional Certificate by Databricks (via edX)

This course offers an intermediate to advanced survey of LLM theory and applications, including practical Python and PyTorch labs. Costs range from free to $198.

Key Topics Covered: LLM theory, Python and PyTorch labs.

Target Audience and Skill Level Requirements: Learners with prior machine learning experience.

Pros:
• Covers state-of-the-art LLM concepts.
• Practical coding labs included.

Cons:
• Requires prior machine learning experience.

Who Would Benefit Most: Learners with ML background seeking advanced LLM knowledge.

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Course 20: Introduction to Artificial Intelligence by LinkedIn Learning

This course provides a foundational understanding of AI concepts for User Support Specialists, with free access through July 31, 2025.

Key Topics Covered: AI concepts, machine learning algorithms, neural networks.

Target Audience and Skill Level Requirements: Beginners looking to build AI fluency.

Pros:
• Good for beginners.
• Covers foundational AI concepts.

Cons:
• More conceptual, less hands-on.

Who Would Benefit Most: Beginners seeking an introduction to AI.

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Course 21: Introduction to Prompt Engineering for Generative AI by LinkedIn Learning

This course introduces prompt engineering techniques for generative AI, relevant for User Support Specialists interacting with AI chatbots, with free access through July 31, 2025.

Key Topics Covered: Prompt engineering, generative AI interaction.

Target Audience and Skill Level Requirements: Those familiar with generative AI concepts; practical focus.

Pros:
• Practical focus on AI interaction.

Cons:
• Assumes some familiarity with generative AI.

Who Would Benefit Most: Specialists aiming to improve AI interaction skills.

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Course 22: Generative AI for Business Leaders by LinkedIn Learning

This course explores how generative AI is transforming business processes, offering free access through July 31, 2025. It helps User Support Specialists align AI tool use with broader business goals.

Key Topics Covered: Business transformation, AI workflow automation.

Target Audience and Skill Level Requirements: Business-focused learners; more strategic than technical.

Pros:
• Provides strategic context.
• Helps understand AI's impact on workflows.

Cons:
• More strategic than technical.

Who Would Benefit Most: Business leaders and support specialists aligning AI with business goals.

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Course 23: Ethics in the Age of Generative AI by LinkedIn Learning

This course covers ethical considerations in deploying generative AI, essential for User Support Specialists managing AI systems. It is free through July 31, 2025.

Key Topics Covered: Ethical AI deployment, data security, fairness.

Target Audience and Skill Level Requirements: Suitable for all levels; focuses on ethical AI use.

Pros:
• Emphasizes responsible AI use.
• Practical ethical frameworks.

Cons:
• More conceptual, less technical.

Who Would Benefit Most: Those committed to ethical AI management.

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Course 24: Prompt Engineering: How to Talk to the AIs by LinkedIn Learning

This course teaches how to effectively communicate with AI systems through prompt engineering, crucial for User Support Specialists optimizing support responses. It offers free access through July 31, 2025.

Key Topics Covered: Effective AI communication, prompt engineering techniques.

Target Audience and Skill Level Requirements: Those with prior AI knowledge; practical focus.

Pros:
• Improves AI interaction skills.
• Hands-on approach.

Cons:
• May require some prior AI knowledge.

Who Would Benefit Most: Specialists enhancing AI communication skills.

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Course 25: Responsible AI: Principles and Practical Applications by LinkedIn Learning

This course focuses on balancing AI benefits with risks such as bias and inequity, helping User Support Specialists responsibly implement AI tools. It is free through July 31, 2025.

Key Topics Covered: AI benefits and risks, ethical AI deployment.

Target Audience and Skill Level Requirements: Suitable for all levels; policy and strategy oriented.

Pros:
• Real-world examples.
• Emphasizes ethical AI deployment.

Cons:
• More policy and strategy oriented.

Who Would Benefit Most: Those implementing AI in customer-facing roles.

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Overall Recommendations for User Support Specialists

Choosing the right AI course depends on your current skill level, learning goals, and the specific needs of your role. For those seeking the most comprehensive and affordable education, CompleteAI Training offers extensive resources and frequent updates tailored for User Support Specialists. If you are looking for a quick foundational understanding, courses like "AI Crash Course by Section AI" and "AI For Everyone by DeepLearning.AI" provide excellent starting points.

For practical skills in prompt engineering and AI interactions, consider "Intro to AI Prompt Writing by Section AI" or "Prompt Engineering: How to Talk to the AIs by LinkedIn Learning." If ethical AI use is a priority, "Using AI Responsibly by Section AI" and "Ethics in the Age of Generative AI by LinkedIn Learning" are highly recommended.

Ultimately, the best course will align with your professional objectives and the specific AI applications you wish to master in your support role. Consider the pros and cons of each offering to find the best fit for your learning journey.