19 AI Courses for Training and Development Specialists that You Should Know About in 2025

The rapid advancement of artificial intelligence (AI) is transforming industries across the globe, and the field of Training and Development is no exception. As AI technologies continue to evolve, they are creating both opportunities and challenges for professionals tasked with developing and delivering effective training programs. For Training and Development Specialists, staying ahead in this dynamic landscape is critical. The potential job impact is significant, with AI-powered tools promising to enhance training delivery, streamline processes, and provide personalized learning experiences. Upskilling in AI is no longer optional but a necessity for professionals who wish to remain competitive and impactful in their roles.

Why AI matters for Training and Development Specialists today

AI is becoming increasingly integral to the function of Training and Development Specialists. With 69% of businesses already utilizing AI in some capacity, professionals in this field must understand how to leverage these technologies to enhance learning outcomes. The purpose of this article is to guide Training and Development Specialists in identifying the most effective AI courses that cater to their specific needs, ensuring they are well-equipped to integrate AI into their training strategies.

The Growing Role of AI in Training and Development Specialists

AI applications are reshaping the Training and Development landscape by enabling automation of routine tasks, enhancing decision-making capabilities, and personalizing learning experiences to meet individual needs. AI tools can automate administrative tasks, freeing up specialists to focus on more strategic functions. Additionally, AI-driven analytics can provide insights into learner behavior, allowing for more informed decisions about training content and delivery methods. As AI continues to advance, its role in transforming tasks and workflows for Training and Development Specialists will only expand, making expertise in AI increasingly valuable.

Benefits of becoming an AI expert in Training and Development Specialists

For Training and Development Specialists, becoming proficient in AI offers numerous benefits. Professionals with AI expertise can design and implement more effective training programs, leading to improved learner outcomes and greater organizational success. AI skills also enhance a specialist’s ability to adapt to new technologies and methodologies, ensuring they remain relevant in a rapidly advancing field. Moreover, AI proficiency can open up new career opportunities and paths, as organizations seek out individuals who can lead AI-driven initiatives and innovations in training and development.

The article will explore and compare a total of 19 AI courses designed specifically for Training and Development Specialists, including the highly regarded CompleteAI Training. With its extensive library of over 100 specialized video courses and certifications, CompleteAI Training offers daily updates on the latest AI tools and industry news pertinent to Training and Development Specialists. This comprehensive approach provides professionals with the resources they need to maintain a competitive edge in the industry while ensuring they are equipped to meet the demands of an AI-integrated future.

Comparison: All AI Courses for Training and Development Specialists (Updated Q2' 2025)

Course Name	Provider	Price	Key Topics	Pros	Cons	Best For
AI for Training and Development Specialists	Complete AI Training	$29/month or $8.25/month billed annually	Video Courses, Certifications, AI Tools, Industry News	Highest rating, Extensive courses, Daily updates, Affordable	Subscription based	Training and Development Specialists
AI Essentials for L&D Professionals	Australian Institute of Training and Development (AITD)	Contact provider for pricing	AI Literacy, Content Creation, Micro-Credentials, Ethics	Hands-on approach, Real-world applications, Ethical focus	Pricing not clearly stated	General learners
ATD Intensive: AI in Learning and Development	Association for Talent Development (ATD)	Not specified	Practical AI Capability, Hackathon, Networking	Practical application, Expert guidance, Networking	Requires full-day commitment	General learners
Introduction to Artificial Intelligence	LinkedIn Learning	Free through July 31, 2025; $29.99/month after	Foundational AI Concepts, Machine Learning	Good for beginners, Covers foundational concepts	May be too introductory	General learners
Introduction to Prompt Engineering for Generative AI	LinkedIn Learning	Free through July 31, 2025; $29.99/month after	Prompt Engineering, Generative AI Models	Practical skills, Relevant for modern applications	Focused on prompt engineering	General learners
Generative AI for Business Leaders	LinkedIn Learning	Free through July 31, 2025; $29.99/month after	AI Automation, Strategic Insights, ROI	Tailored for leaders, Strategic insights	Less technical	General learners
Ethics in the Age of Generative AI	LinkedIn Learning	Free through July 31, 2025; $29.99/month after	AI Ethics, Responsible AI Deployment	Focus on ethics, Practical framework	More conceptual	General learners
Introduction to Artificial Intelligence (AI)	IBM via Coursera	Free trial; $39-$79/month for full access	AI Basics, Machine Learning, Data Ethics	High rating, Suitable for beginners	Requires upgrading for full access	General learners
Generative AI: Prompt Engineering Basics	IBM via Coursera	Free trial; $39-$79/month for full access	Prompt Engineering, Generative AI Models	High user rating, Beginner-friendly	Limited to prompt engineering	General learners
AI For Everyone	DeepLearning.AI via Coursera	Free trial; $39-$79/month for full access	Non-Technical AI Concepts, Ethical Considerations	Very high rating, Accessible to beginners	Does not cover technical implementation	General learners

Understanding AI Training for Training and Development Specialists Professionals

The role of Training and Development Specialists is evolving with the integration of artificial intelligence (AI) into the workplace. Comprehensive AI training courses are essential for these professionals to stay ahead in their field. This article provides a detailed comparison of various AI courses tailored for Training and Development Specialists, helping them enhance their skills and effectively incorporate AI technologies into their strategies.

Course 1: CompleteAI Training

CompleteAI Training offers an extensive library of over 100 video courses and certifications specifically designed for Training and Development Specialists. The program delivers comprehensive AI education, daily updates on the latest AI tools, and curated industry news. With its affordable pricing, particularly the annual subscription, this course is an attractive option for continuous learning.

Key Topics Covered: AI tools and technologies, industry news updates, specialized video courses

Target Audience and Skill Level Requirements: Suitable for Training and Development Specialists at all levels

Pros:
• Highest rating
• Most complete offering tailored for Training and Development Specialists
• Daily updates on relevant AI tools and news
• Very affordable pricing, especially with annual billing

Cons:
• Subscription-based, crucial for continuous learning as AI develops continuously

Who Would Benefit Most: Training and Development Specialists seeking comprehensive and up-to-date AI education

Explore CompleteAI Training

Course 2: AI Essentials for L&D Professionals (2025) by Australian Institute of Training and Development (AITD)

This 1-day online course with a follow-up webinar is designed for L&D professionals, training managers, and instructional designers with basic generative AI experience. It covers AI literacy, content creation, micro-credentials, feedback, automation, and ethical considerations in L&D.

Key Topics Covered: AI literacy, content creation, micro-credentials, ethical considerations

Target Audience and Skill Level Requirements: Professionals with some AI experience looking to expand skills

Pros:
• Hands-on practical approach with guided resources
• Focus on real-world applications in L&D
• Covers ethical and governance aspects of AI use

Cons:
• Pricing not clearly stated upfront (requires inquiry)

Who Would Benefit Most: L&D professionals expanding their understanding of AI applications in their field

Explore AI Essentials for L&D Professionals

Course 3: ATD Intensive: AI in Learning and Development (2025) by Association for Talent Development (ATD)

This virtual 3-day event is aimed at L&D professionals focused on building practical AI capability in the workplace. It includes interactive sessions, hands-on practice, a collaborative Hackathon, and networking opportunities in a cohort-based community.

Key Topics Covered: Practical AI application, skill-building, collaborative Hackathon

Target Audience and Skill Level Requirements: L&D professionals committed to attending three full-day virtual sessions

Pros:
• Focused on practical application and skill-building
• Access to exclusive resources and expert guidance
• Opportunity to collaborate and network with peers

Cons:
• Requires commitment to attend all three full-day virtual sessions
• Discount applies only to individual registrations, excluding teams

Who Would Benefit Most: L&D professionals committed to enhancing their practical AI skills

Explore ATD Intensive: AI in Learning and Development

Course 4: Introduction to Artificial Intelligence by LinkedIn Learning

This foundational course introduces what it means for a system to be intelligent, covering machine learning algorithms and neural networks. It is ideal for building AI fluency for training and development specialists.

Key Topics Covered: Machine learning algorithms, neural networks, AI fluency

Target Audience and Skill Level Requirements: Beginners looking to understand foundational AI concepts

Pros:
• Good for beginners
• Covers foundational AI concepts relevant across industries

Cons:
• May be too introductory for advanced AI practitioners

Who Would Benefit Most: Beginners seeking to understand basic AI principles

Explore Introduction to Artificial Intelligence

Course 5: Introduction to Prompt Engineering for Generative AI by LinkedIn Learning

This course introduces prompt engineering techniques for generative AI models, helping learners interact effectively with AI tools. It is particularly useful for training specialists to help employees leverage generative AI.

Key Topics Covered: Prompt engineering, generative AI models, AI tool interaction

Target Audience and Skill Level Requirements: Professionals interested in practical skills for working with generative AI

Pros:
• Practical skills for working with generative AI
• Relevant for modern AI applications

Cons:
• Focused specifically on prompt engineering, may require supplementary AI knowledge

Who Would Benefit Most: Training specialists looking to enhance practical AI application skills

Explore Introduction to Prompt Engineering for Generative AI

Course 6: Generative AI for Business Leaders by LinkedIn Learning

This course explores how generative AI can automate processes, write code, and create applications. It emphasizes understanding organizational capabilities and identifying high-ROI AI projects for business leaders and training specialists.

Key Topics Covered: AI automation, code generation, organizational capabilities

Target Audience and Skill Level Requirements: Business leaders and training specialists looking for strategic insights on AI adoption

Pros:
• Tailored for leaders
• Strategic insights on AI adoption and ROI

Cons:
• Less technical, more strategic/business focused

Who Would Benefit Most: Leaders seeking strategic understanding of generative AI

Explore Generative AI for Business Leaders

Course 7: Ethics in the Age of Generative AI by LinkedIn Learning

This course addresses ethical concerns surrounding generative AI and provides a framework for analyzing and addressing these issues. It is essential for incorporating AI ethics into organizational learning.

Key Topics Covered: AI ethics, generative AI concerns, ethical frameworks

Target Audience and Skill Level Requirements: Professionals interested in ethical AI deployment

Pros:
• Focus on ethics
• Practical framework for responsible AI deployment

Cons:
• More conceptual, less technical

Who Would Benefit Most: Organizations and professionals focusing on ethical AI implementation

Explore Ethics in the Age of Generative AI

Course 8: Artificial Intelligence Foundations: Machine Learning by LinkedIn Learning

This course covers foundational machine learning concepts essential for understanding AI’s capabilities and limitations, helping training professionals deepen their technical understanding.

Key Topics Covered: Machine learning concepts, AI capabilities, technical foundations

Target Audience and Skill Level Requirements: Learners progressing beyond basics in AI

Pros:
• Solid technical foundation
• Suitable for learners progressing beyond basics

Cons:
• May require prior basic AI knowledge

Who Would Benefit Most: Individuals seeking a deeper technical understanding of AI

Explore Artificial Intelligence Foundations: Machine Learning

Course 9: Prompt Engineering: How to Talk to the AIs by LinkedIn Learning

This course teaches practical prompt engineering skills to communicate effectively with AI systems, helping teams maximize AI tool usage.

Key Topics Covered: Prompt engineering, AI communication skills, tool maximization

Target Audience and Skill Level Requirements: Teams and professionals interested in enhancing AI interaction skills

Pros:
• Practical, hands-on
• Enhances AI interaction skills

Cons:
• Narrow focus on prompt engineering

Who Would Benefit Most: Teams aiming to improve their AI communication capabilities

Explore Prompt Engineering: How to Talk to the AIs

Course 10: Generative AI vs. Traditional AI by LinkedIn Learning

This course explains differences between generative AI and traditional AI approaches, helping learners understand the evolving AI landscape.

Key Topics Covered: Generative vs. traditional AI, AI landscape

Target Audience and Skill Level Requirements: Individuals looking for strategic understanding of AI concepts

Pros:
• Clarifies AI concepts
• Good for strategic understanding

Cons:
• May be too conceptual for technical learners

Who Would Benefit Most: Learners seeking to understand AI evolution and strategy

Explore Generative AI vs. Traditional AI

Course 11: Responsible AI: Principles and Practical Applications by LinkedIn Learning

This course focuses on balancing AI benefits with risk mitigation, emphasizing equity and ethical AI use. It is essential for embedding responsible AI principles in learning programs.

Key Topics Covered: AI benefits vs. risks, ethical AI use, responsible principles

Target Audience and Skill Level Requirements: Professionals interested in responsible AI deployment

Pros:
• Practical examples
• Strong focus on ethics and responsibility

Cons:
• May require prior AI knowledge for full benefit

Who Would Benefit Most: Professionals embedding responsible AI in learning environments

Explore Responsible AI: Principles and Practical Applications

Course 12: AI Trends by LinkedIn Learning

This course offers insights from AI industry thought leaders, helping learners stay competitive by understanding current and future AI trends.

Key Topics Covered: AI trends, industry insights, competitive understanding

Target Audience and Skill Level Requirements: Professionals interested in staying updated on AI developments

Pros:
• Industry insights
• Helps anticipate AI developments

Cons:
• Less hands-on, more informational

Who Would Benefit Most: Individuals seeking to keep up with AI industry trends

Explore AI Trends

Course 13: Introduction to Artificial Intelligence (AI) by IBM via Coursera

This beginner-level course covers foundational AI concepts including large language modeling, generative AI, data ethics, machine learning, deep learning, NLP, and automation. It is designed for understanding AI technologies and business transformation.

Key Topics Covered: AI foundations, language modeling, generative AI, data ethics

Target Audience and Skill Level Requirements: Beginners seeking a broad understanding of AI

Pros:
• High rating (4.7/5)
• Suitable for beginners
• Covers broad AI topics relevant to business and technology transformation

Cons:
• Requires upgrading for full course access and certification

Who Would Benefit Most: Beginners looking to understand AI's impact on business and technology

Explore Introduction to Artificial Intelligence (AI) by IBM

Course 14: Generative AI: Prompt Engineering Basics by IBM via Coursera

This course focuses on prompt engineering skills for generative AI models like ChatGPT, including large language models and image analysis. Ideal for leveraging generative AI in L&D contexts.

Key Topics Covered: Prompt engineering, generative AI models, language models

Target Audience and Skill Level Requirements: Individuals interested in practical skills for AI-driven content creation

Pros:
• High user rating (4.8/5)
• Beginner-friendly
• Practical skills for AI-driven content creation and automation

Cons:
• Limited to prompt engineering focus
• May require prior basic AI understanding

Who Would Benefit Most: Learners interested in practical applications of generative AI

Explore Generative AI: Prompt Engineering Basics by IBM

Course 15: AI For Everyone by DeepLearning.AI via Coursera

This non-technical introduction to AI concepts, ethical considerations, team building, and strategic thinking around AI adoption is suited for training and development specialists aiming to understand AI’s impact on organizations.

Key Topics Covered: AI concepts, ethical considerations, strategic thinking

Target Audience and Skill Level Requirements: Beginners without a coding background

Pros:
• Very high rating (4.8/5)
• Accessible to beginners without coding background
• Emphasizes business and ethical aspects of AI

Cons:
• Does not cover technical AI implementation in depth

Who Would Benefit Most: Beginners interested in strategic and ethical aspects of AI

Explore AI For Everyone by DeepLearning.AI

Course 16: Fundamentals of Machine Learning and Artificial Intelligence by Amazon Web Services (AWS) via Coursera

This course covers core AI and machine learning concepts, including AWS SageMaker, deep learning, and applied machine learning. It is suitable for those wanting a technical introduction to AI tools and cloud-based AI services.

Key Topics Covered: Core AI concepts, AWS SageMaker, deep learning

Target Audience and Skill Level Requirements: Learners interested in cloud AI applications

Pros:
• Free access
• Practical AWS-focused content
• Good for learners interested in cloud AI applications

Cons:
• Mixed-level course
• May be technical for absolute beginners

Who Would Benefit Most: Individuals interested in technical AI and cloud-based services

Explore Fundamentals of Machine Learning and Artificial Intelligence by AWS

Course 17: AI For Business by University of Pennsylvania via Coursera

This specialization focuses on AI applications in business strategy, HR, data governance, and organizational management. It is highly relevant for integrating AI into business processes and workforce development.

Key Topics Covered: AI in business strategy, HR tech, data governance

Target Audience and Skill Level Requirements: Business professionals interested in AI integration

Pros:
• High rating (4.7/5)
• Business-focused AI learning
• Covers HR tech and data-driven decision-making

Cons:
• Requires longer commitment (3-6 months)
• More strategic than technical

Who Would Benefit Most: Business professionals aiming to integrate AI into their strategies

Explore AI For Business by University of Pennsylvania

Course 18: IBM AI Product Manager by IBM via Coursera

This course focuses on AI product lifecycle management, innovation, prompt engineering, and stakeholder engagement. It is useful for training specialists involved in AI product development or managing AI-driven learning tools.

Key Topics Covered: AI product management, innovation, stakeholder engagement

Target Audience and Skill Level Requirements: Intermediate level, suitable for product managers and trainers

Pros:
• High rating (4.7/5)
• Practical product management skills
• Covers AI ethics and commercialization

Cons:
• Intermediate level
• May be more relevant for product managers than pure trainers

Who Would Benefit Most: Product managers and trainers involved in AI-driven projects

Explore IBM AI Product Manager

Course 19: IBM AI Foundations for Everyone by IBM via Coursera

This beginner-friendly specialization covers AI basics, prompt engineering, generative AI, data ethics, and business transformation. It is suitable for training and development specialists seeking a comprehensive overview of AI’s role in business and technology.

Key Topics Covered: AI basics, prompt engineering, data ethics, business transformation

Target Audience and Skill Level Requirements: Beginners seeking a comprehensive overview of AI

Pros:
• High rating (4.7/5)
• Broad coverage
• Includes practical AI applications and governance

Cons:
• Requires several months to complete

Who Would Benefit Most: Beginners looking for a broad understanding of AI’s impact on business

Explore IBM AI Foundations for Everyone

Overall Recommendations

The choice of an AI course depends on the specific needs and current skill level of Training and Development Specialists. For those seeking a comprehensive and continuously updated education, CompleteAI Training offers an extensive library at an affordable price. It is particularly beneficial for those looking for specific content tailored to their profession.

For professionals with some AI experience looking to expand their practical skills, the AI Essentials for L&D Professionals by AITD provides a practical and ethical focus. Those committed to immersive learning experiences may find the ATD Intensive beneficial for its interactive and collaborative approach.

For beginners, AI For Everyone by DeepLearning.AI offers a non-technical introduction to AI, while LinkedIn Learning's Introduction to Artificial Intelligence provides a foundational understanding of AI concepts.

Ultimately, the best course will align with the learner's objectives, whether they are seeking to enhance technical skills, gain strategic insights, or understand ethical considerations in AI deployment.