19 AI Courses for IT Support Specialists that You Should Know About in 2025

In today's competitive job market, staying ahead of industry trends is crucial for IT Support Specialists. The integration of Artificial Intelligence (AI) into various business processes is no longer a futuristic concept but a present reality, transforming how tasks are performed, decisions are made, and customer interactions are handled. As AI continues to permeate the tech industry, IT Support Specialists must equip themselves with the knowledge and skills necessary to navigate this shift. Upskilling in AI not only enhances your professional capabilities but also secures your role in an evolving job landscape where AI expertise is increasingly valued.

Why AI matters for IT Support Specialists today

AI is becoming an indispensable tool for IT Support Specialists, offering unparalleled efficiency and precision in handling complex tasks. According to recent statistics, 69% of businesses have already integrated AI into their operations, underscoring its rising importance. For IT Support Specialists, understanding AI concepts and applications is no longer optional but a necessity. This article aims to guide professionals in identifying the most valuable AI courses available, ensuring they can make informed decisions about their professional development. Among the 19 courses covered, options like CompleteAI Training stand out for their targeted approach to IT Support Specialists.

The Growing Role of AI in IT Support Specialists

AI is reshaping the IT Support landscape by automating routine tasks, enhancing decision-making processes, and enabling personalized customer support experiences. Automation tools powered by AI can streamline ticket resolution, reducing response times and freeing up specialists to focus on more complex issues. Furthermore, AI-driven analytics provide insights that inform strategic decision-making, improving service efficiency and effectiveness. As AI continues to evolve, its applications in workflow optimization and customer interaction will only expand, making AI knowledge essential for IT Support Specialists looking to advance their careers.

Benefits of becoming an AI expert in IT Support Specialists

For IT Support Specialists, acquiring AI expertise translates to numerous professional advantages. Enhanced problem-solving skills and efficiency in managing tasks are just the beginning. AI proficiency can lead to career advancement opportunities, as organizations increasingly seek individuals who can leverage AI to drive innovation and improve service delivery. Moreover, understanding AI empowers specialists to better predict and respond to technological changes, providing a competitive edge in a tech-driven job market. By investing in AI education, IT Support Specialists can ensure they remain invaluable assets to their organizations.

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

Course Name	Provider	Price	Key Topics	Pros	Cons	Best For
AI for IT Support Specialists	CompleteAI Training	$29/month or $8.25/month billed annually	Video Courses, Certifications, AI Tools, Industry News	Highest rating, Extensive range of courses, Daily updates, Affordable pricing	Subscription based	IT Support Specialists
IBM Applied AI Professional Certificate	IBM via Coursera	$39-$79/month	AI Basics, Machine Learning, IBM Watson, Python	Accessible for limited programming experience, Practical focus	Advanced topics may need extra study	General learners
Master the Fundamentals of AI and Machine Learning	LinkedIn Learning	$29.99/month or $239.88/year	Foundational AI, Machine Learning, AI in Cybersecurity	Suitable for IT specialists, Flexible learning	Theoretical, less hands-on coding	General learners
Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT	Udemy	$199 (may vary with sales)	AI Fundamentals, LLMs, Python Projects	Hands-on projects, Covers generative AI	Requires programming background	General learners
Deep Learning Specialization	Deeplearning.ai via Coursera	$49/month	Neural Networks, NLP, Transformers	Deep technical knowledge, Hands-on projects	Requires Python, linear algebra knowledge	General learners
Introduction to TensorFlow for AI, ML, and DL	Deeplearning.ai via Coursera	$49/month	TensorFlow, Neural Networks, Computer Vision	Practical skills for AI solutions	Requires programming and math background	General learners
Google Cloud's Introduction to Generative AI Learning Path	Google Cloud	Free or low cost	Generative AI, Google Tools, Vertex AI	Great for Google Cloud environments	Google-centric tools	General learners
AI For Everyone	Deeplearning.ai via Coursera	Free to $49.99/month	AI Overview, Misconceptions, Future Prospects	No prerequisites, Great for AI literacy	Does not teach technical skills	General learners
Artificial Intelligence Nanodegree	Udacity	$1017 for 3 months	Classical AI Methods, Practical Projects	Strong foundation, Portfolio projects	Requires programming knowledge	General learners
Computer Science for AI Professional Certificate	Harvard via edX	$348 (Free to audit)	CS Fundamentals, AI Programming	High-quality instruction, Strong support	Requires prior programming knowledge	General learners

Understanding AI Training for IT Support Specialists Professionals

As the integration of artificial intelligence becomes more prevalent across various industries, IT Support Specialists are increasingly required to understand AI technologies and applications. This article reviews a selection of AI courses tailored for professionals in IT support, focusing on practical skills and certifications that enhance career prospects. Our analysis includes a detailed look at courses from CompleteAI Training, IBM, LinkedIn Learning, Udemy, and others, providing a comprehensive guide to selecting the best course for your needs.

Course 1: CompleteAI Training

CompleteAI Training offers a comprehensive suite of over 100 video courses and certifications specifically designed for IT Support Specialists. Subscribers gain access to extensive AI education resources, alongside daily updates on the latest AI tools and curated industry news. The platform is particularly noted for its affordability and breadth of content, making it a popular choice for continuous learning in a rapidly evolving field.

Key Topics Covered: AI fundamentals, certifications for IT support, updates on AI tools, industry news.

Target Audience and Skill Level Requirements: Suitable for IT Support Specialists at any skill level.

Pros:
• Extensive range of AI courses and certifications
• Daily updates on relevant AI tools and news
• Very affordable, especially with annual billing

Cons:
• Subscription-based, requiring ongoing commitment

Who Would Benefit Most: IT Support Specialists seeking an affordable, comprehensive resource for ongoing AI education.

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Course 2: IBM Applied AI Professional Certificate by IBM via Coursera

This beginner-level certification course is tailored for learners with both technical and non-technical backgrounds, focusing on AI basics and practical tool-building using IBM Watson AI services and Python. The course emphasizes creating virtual assistants and AI chatbots, allowing IT support professionals to automate and enhance their problem-solving capabilities.

Key Topics Covered: AI basics, machine learning, deep learning, neural networks, practical AI tools.

Target Audience and Skill Level Requirements: Suitable for beginners, especially those with limited programming experience.

Pros:
• Accessible to those with limited programming experience
• Practical focus on AI tools for IT support automation

Cons:
• Advanced AI topics may require additional study

Who Would Benefit Most: IT Support Specialists looking to automate support tasks with minimal coding knowledge.

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Course 3: Master the Fundamentals of AI and Machine Learning by LinkedIn Learning

This course provides a learning path through 10 short courses covering foundational AI and machine learning concepts. It is designed to help IT professionals understand AI’s impact on business and technology, with a focus on AI accountability and cybersecurity.

Key Topics Covered: AI foundations, machine learning, neural networks, AI for project managers, AI in cybersecurity.

Target Audience and Skill Level Requirements: Suitable for IT support specialists seeking foundational knowledge.

Pros:
• Flexible and modular learning
• Suitable for understanding AI's role in IT support

Cons:
• More theoretical, less hands-on coding

Who Would Benefit Most: IT Support Specialists aiming to gain a foundational understanding of AI concepts.

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Course 4: Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT by Udemy

Udemy’s course offers a hands-on approach, covering both fundamental and advanced AI concepts. Participants engage in practical projects, such as AI for process optimization and AI chatbots using large language models (LLMs) like ChatGPT.

Key Topics Covered: AI fundamentals, machine learning, deep learning, practical AI projects.

Target Audience and Skill Level Requirements: Requires some programming background.

Pros:
• Hands-on projects relevant to IT applications
• Covers generative AI and LLMs

Cons:
• Intensive for beginners

Who Would Benefit Most: IT Support Specialists with some programming experience, looking for practical AI applications.

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Course 5: Deep Learning Specialization by Deeplearning.ai via Coursera

This intermediate to advanced series of courses covers deep learning topics including neural networks and natural language processing. Taught by renowned instructors, it focuses on building and training models applicable to a range of data types.

Key Topics Covered: Neural networks, deep learning, convolutional and recurrent neural networks, transformers.

Target Audience and Skill Level Requirements: Suitable for those with knowledge of Python and machine learning basics.

Pros:
• Deep technical knowledge
• Hands-on coding projects

Cons:
• Requires programming background

Who Would Benefit Most: IT Support Specialists interested in advanced AI development.

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Course 6: Introduction to TensorFlow for Artificial Intelligence, Machine Learning and Deep Learning by Deeplearning.ai via Coursera

This program teaches best practices in TensorFlow, creating neural networks, and training models for computer vision, providing practical skills for IT support professionals aiming to implement AI-powered solutions.

Key Topics Covered: TensorFlow basics, neural networks, computer vision, model training.

Target Audience and Skill Level Requirements: Requires some programming and math background.

Pros:
• Practical AI implementation skills

Cons:
• Requires prior technical knowledge

Who Would Benefit Most: IT Support Specialists interested in practical AI model implementation.

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Course 7: Google Cloud's Introduction to Generative AI Learning Path by Google Cloud

This course introduces generative AI and large language models using Google tools. It’s beginner-friendly and includes responsible AI practices, making it a great introduction for IT support specialists working in Google Cloud environments.

Key Topics Covered: Generative AI, large language models, Google Cloud tools, responsible AI.

Target Audience and Skill Level Requirements: Suitable for beginners, especially those working with Google Cloud.

Pros:
• Great for Google Cloud environments

Cons:
• Google-centric tools may limit applicability elsewhere

Who Would Benefit Most: IT Support Specialists in Google Cloud environments looking to integrate AI.

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Course 8: AI For Everyone by Deeplearning.ai via Coursera

This non-technical course offers a broad overview of AI capabilities and future prospects without requiring math or coding skills. It is ideal for IT support specialists who want to understand AI’s impact on business.

Key Topics Covered: AI capabilities, future prospects, AI literacy.

Target Audience and Skill Level Requirements: Suitable for complete beginners.

Pros:
• No prerequisites
• Great for building AI literacy

Cons:
• Does not teach technical skills

Who Would Benefit Most: IT Support Specialists seeking a non-technical overview of AI.

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Course 9: Artificial Intelligence Nanodegree by Udacity

Udacity’s Nanodegree covers foundational AI techniques, focusing on classical AI methods. It includes practical projects, such as building a sudoku solver, providing a strong theoretical and practical foundation.

Key Topics Covered: Classical AI methods, practical projects, AI programming.

Target Audience and Skill Level Requirements: Intermediate difficulty, requires some programming knowledge.

Pros:
• Strong theoretical and practical foundation
• Projects for portfolio building

Cons:
• Requires programming knowledge

Who Would Benefit Most: IT Support Specialists looking to build a strong foundation in AI techniques.

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Course 10: Computer Science for Artificial Intelligence Professional Certificate by Harvard via edX

This intermediate-level certificate focuses on computer science fundamentals and AI programming. It includes coding challenges and projects designed to build AI programs, offering high-quality instruction and community support.

Key Topics Covered: Computer science fundamentals, AI programming, coding challenges.

Target Audience and Skill Level Requirements: Requires prior programming knowledge.

Pros:
• High-quality instruction
• Challenging problem sets

Cons:
• Demanding for beginners

Who Would Benefit Most: IT Support Specialists with programming skills seeking to enhance their AI programming knowledge.

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Course 11: LangChain - Develop LLM Powered Applications with LangChain by Udemy

This intermediate course focuses on building applications using Large Language Models with LangChain, covering advanced techniques like Retrieval Augmented Generation. It’s ideal for those interested in practical LLM applications.

Key Topics Covered: LLM applications, LangChain, advanced AI techniques.

Target Audience and Skill Level Requirements: Requires Python programming skills.

Pros:
• Hands-on projects
• Practical LLM applications

Cons:
• Not focused on AI theory

Who Would Benefit Most: IT Support Specialists with coding skills interested in developing LLM applications.

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Course 12: Large Language Models Professional Certificate by Databricks via edX

Designed for developers with machine learning experience, this course covers advanced LLM applications, including transformer architectures and prompt engineering. It’s ideal for those looking to understand and build LLM applications.

Key Topics Covered: Transformer architectures, LLM applications, prompt engineering.

Target Audience and Skill Level Requirements: Intermediate to advanced level, requires ML experience.

Pros:
• Comprehensive LLM coverage
• Practical Python/PyTorch labs

Cons:
• Requires prior ML experience

Who Would Benefit Most: IT Support Specialists with machine learning experience seeking advanced LLM knowledge.

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Course 13: Artificial Intelligence (MIT OpenCourseWare) by MIT OpenCourseWare

This free, intermediate-level course offers an academic approach to AI, covering classic algorithms, reasoning, and search techniques. While self-paced, it requires a high level of self-motivation to complete.

Key Topics Covered: Classic AI algorithms, reasoning, search techniques, neural networks.

Target Audience and Skill Level Requirements: Suitable for those with an academic interest in AI.

Pros:
• Free and high academic quality
• Comprehensive AI coverage

Cons:
• Self-paced with no interactive platform features

Who Would Benefit Most: Academically inclined IT Support Specialists seeking a thorough understanding of AI.

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Course 14: Introduction to Artificial Intelligence by LinkedIn Learning

This course offers an introduction to AI concepts and algorithms, ideal for IT support specialists building foundational AI literacy. It’s free through mid-2025, providing an accessible entry point into AI.

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

Target Audience and Skill Level Requirements: Suitable for beginners.

Pros:
• Great for beginners
• Covers core AI concepts

Cons:
• Introductory level

Who Would Benefit Most: IT Support Specialists new to AI, seeking foundational knowledge.

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Course 15: Introduction to Prompt Engineering for Generative AI by LinkedIn Learning

This course introduces prompt engineering techniques for generative AI, a key skill for IT support specialists working with AI-driven tools and chatbots. It helps learners effectively communicate with AI systems.

Key Topics Covered: Prompt engineering, generative AI communication.

Target Audience and Skill Level Requirements: Suitable for IT support roles using AI assistants.

Pros:
• Practical skills for interacting with AI

Cons:
• Focused on generative AI prompts

Who Would Benefit Most: IT Support Specialists using AI-driven tools and chatbots.

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Course 16: Generative AI for Business Leaders by LinkedIn Learning

This course explores how generative AI can transform business processes, offering insights into AI’s business impact and how to leverage AI tools in workflows. It’s more business-focused, providing strategic understanding.

Key Topics Covered: Generative AI impact, business processes, AI tool leverage.

Target Audience and Skill Level Requirements: Suitable for IT professionals advising business units.

Pros:
• Provides strategic understanding

Cons:
• More business-focused than technical

Who Would Benefit Most: IT Support Specialists advising on AI’s business impact.

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Course 17: Ethics in the Age of Generative AI by LinkedIn Learning

This course covers ethical considerations in deploying generative AI, crucial for IT support specialists responsible for AI tool governance. It includes frameworks to analyze and address ethical challenges.

Key Topics Covered: Ethical AI considerations, governance frameworks.

Target Audience and Skill Level Requirements: Suitable for those managing AI systems.

Pros:
• Emphasizes responsible AI use

Cons:
• Conceptual focus

Who Would Benefit Most: IT Support Specialists responsible for AI tool implementation and governance.

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Course 18: Responsible AI: Principles and Practical Applications by LinkedIn Learning

This course discusses maximizing AI benefits while mitigating risks such as bias and inequity. It provides practical examples of responsible AI deployment, essential for IT support specialists managing AI systems.

Key Topics Covered: Responsible AI principles, risk management, practical applications.

Target Audience and Skill Level Requirements: Suitable for IT support roles managing AI systems.

Pros:
• Practical guidance on ethical AI

Cons:
• May require supplementary technical training

Who Would Benefit Most: IT Support Specialists managing AI systems with a focus on risk management.

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Course 19: Artificial Intelligence Foundations: Machine Learning by LinkedIn Learning

This course covers foundational machine learning concepts, essential for IT support specialists to understand AI system behaviors and troubleshooting. It is free until mid-2025, offering a cost-effective learning opportunity.

Key Topics Covered: Machine learning foundations, AI system behaviors.

Target Audience and Skill Level Requirements: Suitable for beginners seeking foundational knowledge.

Pros:
• Solid technical foundation

Cons:
• Introductory level

Who Would Benefit Most: IT Support Specialists new to machine learning concepts.

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Overall Recommendations

Choosing the right AI course depends on your current skill level, career goals, and specific interests within AI. For those seeking comprehensive and cost-effective training tailored specifically to IT Support Specialists, CompleteAI Training offers a well-rounded package with regular updates and industry news. If you're a beginner with limited programming knowledge, consider IBM Applied AI Professional Certificate for its practical focus on AI tools. For those interested in deep learning and advanced AI applications, the Deep Learning Specialization by Deeplearning.ai provides in-depth technical knowledge. Ultimately, the best course for you will align with your learning preferences, professional needs, and the specific AI skills you wish to develop.