01
For technical builders
AI Engineering
Compare practical programs covering machine learning systems, generative AI, agents, and production deployment.
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02
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Executive AI
Find focused executive education for strategy, governance, adoption, and responsible AI leadership.
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Executive AI
UC Berkeley Executive Education
Artificial Intelligence: Business Strategies and Applications
UC Berkeley Executive Education offers the online Artificial Intelligence: Business Strategies and Applications program for senior leaders, functional heads, and professionals exploring AI adoption. Over two months, learners allocate four to six hours weekly to study generative AI, prediction simulations, algorithmic bias, and organizational change. The curriculum includes four live sessions, subject to change, starting with current business applications and progressing through predictive models and team building, concluding with future AI trends. Participants engage with recorded materials, case studies featuring organizations like Vodafone, assignments, and discussions. The program requires a USD 3050 fee and culminates in a Capstone Business Challenge Project. Successful participants receive a digital Certificate of Completion, which does not confer degree credit.
Registry checked
- Price
- USD 3050Program fee. No available dates are displayed.
- Duration
- 2 months4–6 hours per week.
- Format
- Online learning programlive and recorded sessions
- Credential
- Certificate of Completion
- Prerequisites
- No technical background required.
Facts checked 13 September 2026 against UC Berkeley Executive Education’s official page · · Next check October 2026
Sources ↗
- Price — https://executive.berkeley.edu/programs/artificial-intelligence-business-strategies-and-applications
- Duration — https://executive.berkeley.edu/programs/artificial-intelligence-business-strategies-and-applications
- Official program page — https://executive.berkeley.edu/programs/artificial-intelligence-business-strategies-and-applications
Artificial intelligenceGenerative AILanguage modelsPredictionSimulationAI teamsAlgorithmic biasBusiness strategy
AI Engineering
University of Helsinki and MinnaLearn
Building AI
Building AI is a flexible online course offered by the University of Helsinki and MinnaLearn that takes approximately 50 hours to complete. It explores the algorithms underlying artificial intelligence. The curriculum covers fundamental optimization, probability, machine learning, and neural networks. Learners can choose from beginner, intermediate, and advanced exercise options. The intermediate and advanced tiers require programming. While prior completion of Introduction to AI is recommended, it is not a prerequisite. All course content and exercises are accessible for free. Learners who complete 19 of 21 exercises with at least half correct can purchase an optional electronic certificate for EUR 50. The program ends with an optional AI idea project.
Registry checked
- Price
- FreeCourse content and all exercises at all levels are free; the optional certificate is not included. Optional upgrade adds EUR 50: Optional electronic certificate; excluded from free course access. EUR 50 including VAT if applicable; successful completion and purchase required.
- Duration
- Approximately 50 hours to complete the whole coursevaries by difficulty and optional project.
- Level
- Basic Understanding
- Format
- Flexible online course
- Credential
- Certificate
- Prerequisites
- Basic Python recommended; Introduction to AI recommended but not a prerequisite; intermediate and advanced exercises require programming.
Facts checked 13 September 2026 against University of Helsinki and MinnaLearn’s official page · · Next check October 2026
Sources ↗
- Price — https://www.elementsofai.com/faq/what-are-the-requirements-for-completing-the-introduction-to-ai-and-building-ai-courses-2
- Duration — https://www.elementsofai.com/faq/how-many-hours-will-the-course-take
- Official program page — https://buildingai.elementsofai.com/
- Credential details — https://www.elementsofai.com/faq/how-to-share-your-certificate-in-linkedin
- Optional price component — https://www.elementsofai.com/faq/i-have-passed-an-elements-of-ai-course-where-is-my-certificate-2
OptimizationProbabilityBayesMachine learningNeural networksDeep learning
AI Foundations
University of Helsinki and MinnaLearn
Introduction to AI
The Introduction to AI course, created by MinnaLearn and the University of Helsinki, is a free, self-paced online program exploring artificial intelligence fundamentals. The curriculum contains six chapters covering AI definitions, problem solving, probability applications, machine learning types, neural networks, and societal implications. Designed for a general audience with no complicated math or programming prerequisites, the course requires participants to complete at least ninety percent of the exercises with a minimum fifty percent accuracy rate. Assessment includes peer-evaluated exercises requiring learners to provide and receive peer reviews. Upon meeting these requirements, participants earn a digital Elements of AI: Introduction to AI certificate at no cost, which can be shared via URL on LinkedIn.
Registry checked
- Price
- FreeCourse access and the certificate are free.
- Duration
- Approximately 4–8 hours per partprovider recommends finishing in 6 weeks, self-paced.
- Format
- Free online courseself-paced
- Credential
- Certificate
- Prerequisites
- No complicated math or programming required
Facts checked 13 September 2026 against University of Helsinki and MinnaLearn’s official page · · Next check October 2026
Sources ↗
- Price — https://www.elementsofai.com/faq/i-have-passed-an-elements-of-ai-course-where-is-my-certificate-2
- Duration — https://www.elementsofai.com/faq/how-many-hours-will-the-course-take
- Official program page — https://www.elementsofai.com/
- Modules or exam domains — https://course.elementsofai.com/
- Credential details — https://www.elementsofai.com/faq/how-to-share-your-certificate-in-linkedin
Artificial intelligenceSearch and problem solvingProbability and BayesMachine learningNeural networksSocietal implications
AI Engineering
MIT Professional Education
Professional Certificate Program in Machine Learning & Artificial Intelligence
The Professional Certificate Program in Machine Learning and Artificial Intelligence is an On Campus and Live Online course-based program from MIT Professional Education. Learners complete at least 16 days of qualifying Short Programs courses within a 36-month window. The curriculum requires the Machine Learning for Big Data and Text Processing core courses; learners with prior experience may begin with the Advanced course, while others must take Foundations and Advanced. Participants then select electives covering topics like natural language processing, predictive analytics, deep learning algorithms, robotics, and large language model architecture. The credential requires full attendance for each selected course. Tuition is charged per selected course, in addition to a USD 325 non-refundable application fee.
Registry checked
- Duration
- At least 16 days of qualifying courses, completed within 36 months of the first qualifying course. Attend the full duration of each coursenot a 36-month instruction duration or guaranteed completion estimate.
- Format
- On Campus & Live Online course-based professional certificate program
- Credential
- Professional Certificate
- Prerequisites
- Core-course route depends on experience: prior machine-learning experience permits starting with Advanced; without relevant experience, take Foundations and Advanced. The stated three-year experience and technical bachelor's profile is under Who Should Attend, not independently stated as a universal admission requirement.
Facts checked 13 September 2026 against MIT Professional Education’s official page · · Next check October 2026
Sources ↗
Machine learningArtificial intelligenceNatural language processingPredictive analyticsDeep learningAlgorithmic methods
AI Engineering
365 Data Science
AI Agent Architecture
The AI Agent Architecture course by 365 Data Science is an intermediate, online self-paced program focused on building agentic systems. The curriculum features two hours of advertised content across twelve instructional modules, with a separately listed sixty-minute exam. Learners explore single and multi-agent structures, prompting frameworks, planning, execution, and memory systems. Covered methodologies include ReAct, ReWOO, and prompt chaining. Prerequisites are introductory courses in AI and AI agents. Course access requires a Self-Study subscription, priced at USD 36 per month regular. The course advertises four CPE credits. This subscription provides one month of access to the provider's learning platform, rather than a fixed cost for guaranteed program completion.
Registry checked
- Price
- 365 Data Science Self-Study — USD 36/month for course content, billed monthly at the regular price. (see provider page)
USD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established. · Official pricing - Duration
- 2 hoursOfficial course-page advertised content duration, not total completion time; catalog separately also2hours.
- Level
- Intermediate
- Format
- Online self-paced course
- Credential
- Course certificate
- Prerequisites
- Intro to AI; Intro to AI agents
Facts checked 9 September 2026 against 365 Data Science’s official page · · Next check October 2026
Sources ↗
Foundations of Agentic AIPrompting for Agentic SystemsAgentic WorkflowsSingle-agent StructuresPlanning and DecompositionMulti-Agent ArchitecturesExecution, Performance, and ReliabilityMemory SystemsOversight and ControlGovernance and SafetyEvaluation and BenchmarkingConclusionCourse exam
AI Engineering
365 Data Science
AI Agents in Practice
"AI Agents in Practice" is an online, self-paced course by 365 Data Science focused on designing agentic systems. Billed as an advanced-level program, the curriculum contains two hours of advertised content. Learners access the materials via the provider's Self-Study subscription for USD 36 per month regular. Additional third-party costs for OpenAI API usage may apply during practical exercises. The syllabus covers core agent principles, prompt techniques, and frameworks such as ReAct, ReWOO, LangGraph, and LangSmith. The curriculum includes three taught project walkthroughs and a separate final project-and-exam section. The listed prerequisites are intermediate Python skills and a basic understanding of large language models and prompt design.
Registry checked
- Price
- 365 Data Science Self-Study — USD 36/month for course content, billed monthly at the regular price. (see provider page)
USD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established. · Official pricing - Duration
- 2 hoursOfficial course-page advertised content duration, not total completion time; catalog separately also2hours.
- Level
- Advanced
- Format
- Online self-paced course
- Credential
- Course certificate
- Prerequisites
- Intermediate Python skills (comfort with functions, basic data structures, and working in notebooks); Basic familiarity with large language models (e.g., using ChatGPT, prompts, tokens, system vs user messages); A general understanding of AI concepts is helpful but not required
Facts checked 9 September 2026 against 365 Data Science’s official page · · Next check October 2026
Sources ↗
Introduction To The CourseRapid Foundations: Agentic Systems In PracticeProject 1: Job-Helper Agent (ReAct)Project 2: ReWOO Job-Helper AgentProject 3: Business-Idea EvaluatorCourse Project And Exam
Important: Prices, availability, and curricula can change. Confirm all details on the provider’s official page before purchasing or enrolling.
Evaluating a broader learning platform? Read our source-checked 365 Data Science provider overview; it is an overview, not a ranked or recommended directory listing.
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