14 Best + Free AI Courses & Certifications [2025 August][UPDATED]
In the vanguard of technological innovation, Artificial Intelligence (AI) shines as a field that embodies the zenith of human ingenuity and computational advancements. AI has permeated almost every facet of modern life, revolutionizing industries by offering intelligent solutions that augment human capabilities and streamline complex processes. As a domain continually evolving, it presents boundless opportunities for professionals who aspire to delve deep into the intricacies of AI, fostering a new age of intelligent automation and innovation.
We present a stellar selection of the Best and Free Artificial Intelligence Courses and Certifications to cater to the surging interest and the evident necessity of acquiring proficiency in this transformative field. These courses are a significant resource for those who wish to navigate AI’s complex yet exhilarating world. These comprehensive programs are designed to accommodate learners from diverse backgrounds, offering a rich tapestry of knowledge that spans from foundational concepts to advanced techniques and methodologies. By enrolling in these courses, you open doors to a landscape teeming with opportunities, where your skills will be in high demand, carving a niche for yourself in an industry that stands as a harbinger of the future. Take the reins of your professional journey and explore the expertly selected Best and Free Artificial Intelligence Courses and certifications, fostering a trajectory that promises growth and a chance to be part of a revolutionary wave reshaping the world. You may want to have a look at the Best Artificial Intelligence Executive Programs as well.
Best + Free Artificial Intelligence (AI) Courses, Online Training, & Executive Programs [2025 August][UPDATED]
Artificial Intelligence: Implications for Business Strategy (MIT Management Executive Education)
The Artificial Intelligence: Implications for Business Strategy program by the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) is consistently ranked among the best AI courses for professionals seeking to lead intelligently in a rapidly evolving digital economy. Unlike narrowly focused technical training, this six-week online program offers a comprehensive and strategic view of artificial intelligence, empowering executives, managers, and innovation leaders to make high-impact decisions about AI adoption and integration across business functions.
The curriculum spans core topics such as machine learning, generative AI, robotics, and natural language processing, but with a distinct emphasis on business strategy, value creation, and ethical governance. Participants learn from world-renowned MIT faculty—including Thomas Malone, Daniela Rus, and Alex Pentland—and engage with real-world case studies and expert-led content designed for immediate application. The capstone project, a signature element of the program, challenges learners to develop a custom AI roadmap tailored to their organization’s strategic goals. For professionals across sectors who want to move beyond buzzwords and lead with clarity, this course offers unmatched credibility, depth, and business relevance.
Highlights
– Learn from top MIT Sloan and CSAIL faculty, including leaders in AI strategy, robotics, and organizational innovation
– Complete six high-impact modules covering technical AI foundations, business use cases, and future-ready leadership strategies
– Design a personalized AI implementation roadmap through a hands-on capstone project aligned with your business objectives
– Gain a deep understanding of AI’s strategic potential, including automation, personalization, predictive analytics, and cross-functional impact
– Explore ethical, regulatory, and workforce implications of AI adoption—topics essential to sustainable innovation
– Participate in a flexible and engaging online learning experience, built for working professionals and senior decision-makers
– Earn a certificate of completion from MIT Sloan School of Management, with optional credit toward the MIT Sloan Executive Certificate
Mode: 100% Online – Weekly structured learning, interactive content, and applied business scenarios
Duration: 6 weeks (excluding orientation) | 6–8 hours/week | Includes a strategy-driven capstone project on AI integration
Rating: 4.8 out of 5
You can Sign up Here
AI for Senior Executives Program (MIT xPRO)
The AI for Senior Executives program by MIT xPRO is widely regarded as one of the best AI courses available for professionals seeking to lead artificial intelligence adoption across their organizations. Designed specifically for senior leaders, this six-month program equips participants with a robust understanding of AI technologies—such as machine learning, deep learning, and generative AI—while also emphasizing strategic implementation, governance, and change management. It is ideally suited for executives, functional heads, and decision-makers aiming to drive innovation, efficiency, and digital transformation using AI.
Delivered by expert faculty and researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), the program blends rigorous academic instruction with high-impact practical learning. The hybrid format includes asynchronous online modules, live virtual sessions, and immersive in-person experiences at MIT’s Cambridge campus. Throughout the journey, participants develop a personalized AI roadmap tailored to their organization’s goals, allowing them to lead AI initiatives with confidence, clarity, and ethical responsibility. This course offers the depth of a top-tier graduate program with the flexibility required for busy professionals.
Highlights
– Engage with world-renowned MIT CSAIL faculty through a mix of live sessions, self-paced online modules, and immersive in-person learning tailored to executive audiences
– Explore key AI concepts including machine learning, deep learning, prompt engineering, generative AI, and intelligent systems in business environments
– Develop a customized AI roadmap to help you strategically apply AI across your organization and drive high-impact transformation initiatives
– Participate in strategic workshops, masterclasses, and team exercises that connect AI technologies with real-world business applications
– Receive mentorship and structured support from a dedicated success coach and program experience manager to enhance your learning experience
– Collaborate with global executives from diverse industries, sharing best practices and insights on AI deployment, adoption, and innovation
– Optionally attend a two-day post-program networking event at MIT to connect with faculty, alumni, and industry leaders at the forefront of AI development
– Earn a certificate of completion from MIT xPRO, validating your leadership capabilities in artificial intelligence and organizational transformation
Mode: Online modules and live virtual sessions + in-person immersions
Duration: 6 to 7 months
Rating: 4.8 out of 5
You can Sign up Here
Leadership Program in AI and Analytics (Wharton University of Pennsylvania Executive Education)
The Wharton Leadership Program in AI and Analytics is widely recognized as one of the best AI courses available today, offering a comprehensive six-month curriculum that blends technical depth with practical, real-world application. Designed for professionals from various backgrounds—not just executives—the program is ideal for anyone seeking to understand, lead, or support AI-driven innovation across sectors.
Offered by Wharton Executive Education, the program’s hybrid format includes self-paced modules, live faculty-led sessions, and an optional in-person immersion at the University of Pennsylvania. It covers a full spectrum of AI topics—from the fundamentals of machine learning and data-driven decision-making to advanced areas like generative AI (genAI), large language models (LLMs), and ethical AI governance.
The curriculum combines academic rigor with practical utility. Participants work on a capstone project that results in a complete, actionable AI implementation plan, providing hands-on experience in designing real-world AI strategies. Additionally, the course offers insight into prompt engineering, model evaluation, data readiness, and regulatory compliance—making it highly relevant across roles in product, analytics, strategy, and technology.
Highlights
– Learn AI fundamentals and advanced topics including genAI and LLMs through a mix of self-paced and live interactive content
– Capstone project guides you through building an AI deployment strategy grounded in real-world business needs and challenges
– Gain practical experience in prompt engineering, workflow optimization, and applying LLMs to various functions
– Understand data privacy, bias mitigation, intellectual property, and regulatory considerations for responsible AI use
– Build leadership and communication skills needed to align teams around AI-driven innovation and transformation
– Collaborate with a diverse global peer group spanning industries, functions, and experience levels
– Attend an optional in-person networking and recognition event at the University of Pennsylvania to extend your professional reach
Mode: Hybrid – Self-paced + Live online + Optional 2-day in-person immersion
Duration: 6 months
Rating: 4.8 out of 5
You can Sign up Here
AI Applications for Growth (Northwestern | Kellog School of Management)
This course is created for individuals who are looking forward to learning about strategies and techniques of artificial intelligence to solve business problems. After the fundamental topics are discussed you will go over how AI impacts different industries as well as the various tools involved in the operations for developing efficient solutions. By the end of the program, you will have numerous strategies under your belt that can be used to improve your organisation’s performance. You may also want to take a look at the Best Artificial Intelligence Executive Programs.
Highlights –
– Learn to manage customer expectations and develop AI models accordingly.
– Multiple case studies that allow you to get a better understanding of the challenges faced in the real world.
– Get answers to your queries from a dedicated support team.
– Complete the exercises and get feedback on your performance.
– Work with real-life-based data.
– Pass the exam with at least 80% to earn the certification.
Duration: 2 months, 4 to 6 hours per week
Rating: 4.5 out of 5
You can Sign up Here
Generative AI for Business Transformation (Purdue University)
This course has several modules on using generative AI to transform business operations, customer services, and many other processes related to businesses to help you revolutionize different aspects of your organization with innovation. You will learn about prompt engineering that can be used to generate highly accurate content output from generative AI tools like ChatGPT that offers vast capabilities to generate the required content, so the output content seems to have been generated by humans with logic and complying with contextual requirements. The prompt engineering techniques module discusses advanced methods to develop successful prompts that ensure the best output from generative AI systems for different business requirements, as you can use this technology for workflow automation to automate complex workflows, improving efficiency and helping your team members to focus on high-value tasks, leaving the repetitive jobs to the AI tools. The course also discusses the use of this tech in sales and marketing to create personalized marketing campaigns to drive sales growth and increase customer engagement using intelligent insights and automation, and then you will move to the software engineering aspect of this tech that helps you use this tech to handle complex coding projects and even debug, streamlining the software development lifecycle.
Highlights:
You will earn a certificate jointly issued by Purdue University Online and Simplilearn.
This course from Purdue University has esteemed faculty and a highly relevant curriculum.
You get an Alumni Association membership of Purdue upon completing this program.
The learning setup includes guided practices, tool demos, and live sessions to explain generative AI concepts and applications clearly to the participants.
The course covers many important AI skills, including prompt engineering, risk management with AI, product research and development, data visualization, and more.
You will study many AI tools, including ChatGPT.
Duration: 4 months
Rating: 4.8 out of 5
You can Sign up Here
Senior Management Program in AI and Digital Transformation (Northwestern | Kellogg School of Management | Executive Education)
As digital innovations like artificial intelligence and digital transformation are reshaping industries, it has become necessary for senior leaders to harness the transformative power of these advanced new technologies, and that is where this program becomes important to learn about the tools needed to align organizational goals with digital possibilities. You will gain the skills to analyze market trends, threats, and opportunities to develop strategic roadmaps that align AI initiatives with broader transformation objectives, focusing on integrating digital solutions into core business functions, improving customer experiences, and ensuring sustainable growth. The course emphasizes creating customer-focused organizations by using data insights to offer personalized and engaging products and services that meet the stringent demands of customers and clients, so the course will offer you improved decision-making skills that prove handy in reducing risks and maximizing benefits from the latest digital innovative solutions. You will also learn how to handle the ethical complexities of AI deployment after evaluating your organization’s practices, developing action plans for ongoing digital governance, and ensuring compliance with industry regulations to make sure you use AI-generated solutions responsibly.
Highlights:
– The program entitles you to select scholar benefits and an Executive Scholar Certificate.
– Senior industry experts provide insights into the latest product trends during guest lectures.
– Learn from cross-disciplinary faculty with expertise in their fields.
– A successful coach will maximize your learning benefits.
– Join three days of networking with faculty, peers, and industry experts.
– A digital playbook capstone project with interactive tasks that challenge you to develop successful solutions.
Duration: 12 months
Rating: 4.8 out of 5
You can Sign up Here
Artificial Intelligence: Business Strategies and Applications (Berkeley ExecEd)
This course is designed for senior leaders, managers, and functional business heads who are interested in exploring AI opportunities across their business functions. This program will introduce you to basic applications of AI, its capabilities, and potential while offering in-depth information about automation, machine learning, and robotics. It consists of eight different modules focused on various concepts, such as Machine Learning, AI Strategy, Key Applications, Neural Networks, etc. At the end of the program, a capstone project will be given to you to showcase what you have learned so far in the course. Completing the capstone project will make you eligible to receive the certificate of completion.
Highlights –
– Designed with a hands-on approach that will help you build a bridge between engineering and technical aspects of AI with business applications
– Learn how to organize and manage successful AI application projects while avoiding pitfalls associated with these new technologies
– Grasp the technical aspects of AI so that you can communicate effectively with technical teams and colleagues
– Build your leadership credibility by obtaining a certificate of completion from UC Berkeley Executive Education
– Gain continuous support and assistance from the world-class faculty who will help you understand the critical concepts
Duration: 2 months, 4-6 hours/week
Rating: 4.6 out of 5
You can Sign up Here
Designing and Building AI Products and Services (MIT xPRO)
If you work in AI and want to gain advanced capabilities, this program can help you. Created by skilled professionals of MIT xPRO, this curriculum will enable you to learn the design philosophies and applications of AI across various industries. You’ll learn how to build an AI-based product proposal and represent it to the internal stakeholders or investors for funding. Besides, you’ll gain a solid understanding of how deploying the right AI technologies can help you automate routine tasks quickly while gaining insights via data analytics. The curriculum offers insights and examples from renowned MIT faculty and a professional certificate to showcase your knowledge and skills.
Highlights –
– A well-structured program to help you learn the various stages of designing AI-based products with a broad understanding of data analytics
– Gain knowledge of the fundamentals of the machine and deep learning algorithms while applying the insights to solve practical problems
– Improve your overall understanding of AI technology fundamentals and tools while exploring multiple design processes
– Learn to differentiate between machine learning algorithms, design AI products to solve organizational issues, and apply machine learning methods
– Be able to assess multiple AI opportunities in various fields like healthcare, IT, and education
Duration: 8 weeks, 6 hours/week
Rating: 4.6 out of 5
You can Sign up Here
Applied Generative AI Specialization (Purdue University)
This applied generative AI course covers the future of this AI technology with a comprehensive curriculum to help participants study this tech’s implications, benefits, and practical applications across different organizational contexts, with the course including theoretical concepts and hands-on practical learning activities to improve the knowledge of real-world applications of this advanced technology. The program starts with an introduction to the basics of the generative AI domain, setting the stage for a transformative educational experience, providing the participants with essential concepts of AI, and then moving to the related programming Python basics to help them gain skills in developing advanced AI content. The next module covers the fundamentals of generative AI, including prompt engineering and how to use this technique to get the required response from generative AI tools like ChatGPT, helping you understand the vast possibilities of generative AI tools that require effective, prompt engineering. The module on advanced generative AI models and architecture discusses the complex nature of advanced generative AI models and the architectures that make these models possible, improving your ability to develop and implement sophisticated AI systems. Next, you will study the practical applications of developing large language model applications with practical AI solutions and then move to the next module, which covers the topics of image content generation using generative AI, allowing you to use AI tools and techniques to generate creative and realistic images for different applications.
Highlights:
Get on the Microsoft Learn portal with your trophy and badges for “Microsoft Azure AI fundamentals: Generative AI”.
Learn more about prominent AI tools like ChatGPT, DALL-E 2, Hugging Face, LangChain, and others.
Purdue faculty will conduct live online masterclasses.
You get access to the Alumni Association of Purdue on program completion.
Take the help of JobAssist, a support service from Simplilearn, to help its education program participants find jobs quickly.
Both Purdue University Online and Simplilearn jointly issue the certificate for this program.
Duration: 4 months
Rating: 4.7 out of 5
You can Sign up Here
AI for Business & Finance Certificate Program (Columbia Business School Executive Education)
The eight structured modules of this program will transform you into an AI-savvy financial leader capable of implementing advanced technologies within your business operations as you learn fundamental concepts of AI, machine learning, and generative AI, developing a strong knowledge base that will prove valuable in using AI in your financial applications. You will develop expertise in Python programming, the program component specially developed for financial professionals with no coding background, enabling you to analyze complex financial datasets, create excellent visualizations, and design automated workflows that integrate seamlessly with your existing Excel-based systems while improving your productivity with automation using API connections. The program progressively builds your analytical capabilities, teaching you to deploy linear regression models for stock return prediction, apply decision trees for complex financial processes, and use simulation techniques for portfolio optimization to improve your decision-making process under uncertainty while considering associated risks. Develop expertise in generative AI technologies, including large language models and embeddings, to develop sophisticated tools for customer service automation, fraud detection, and other processes to gain a good understanding of important considerations regarding buyers, reliability, and implementation costs in your organization. The final modules offer information on advanced AI applications from the point of view of financial professionals, covering investment results, sentiment analysis, market intelligence, and productivity tools like Microsoft Copilot, all the information and skills that you can use immediately within your organization to gain competitive advantages in your sector.
Highlights:
– The program coming from the prestigious Columbia Business School Executive Education section assures the course quality.
– No prior coding experience is required to begin this program.
– The self-paced curriculum with a flexible online learning mode enables you to learn easily and build a high level of proficiency in AI.
– Connect with faculty, industry experts, program participants, and recruiters from top companies for in-person and virtual networking.
– Leading industry leaders offer insights on current trends in integrating AI into different financial applications.
– You will receive a digital certificate that proves your participation in this program.
Duration: 8 weeks
Rating: 4.8 out of 5
You can Sign up Here
Professional Certificate in Machine Learning and Artificial Intelligence (Berkeley Engineering)
Acquire advanced skills in ML/AI to boost your career prospects. These technologies are changing how businesses operate, make products, deliver services, and interact with customers and clients. These transformative technologies are changing organizations and helping them realize their true potential. Study different aspects of artificial intelligence and machine learning to become an expert in this field.
The world-class faculty of UC Berkeley will offer you excellent guidance throughout this education program. Start your education with the fundamentals of ML/AI and go on to study advanced topics. This course is not limited to the theoretical concepts of these technologies. You will also work on some coding projects to improve your practical knowledge. Learn to develop applications that will solve the problems you face when doing business, handling business processes, and delivering customer services.
You will have market-ready skills at the end of this course. Your practical training will extend to coding in Python, where you will create K-means algorithms. Some important topics covered in this course include linear and multiple regression, model selection and regularization, logistic regression, decision trees, and many others.
Highlights:
Study the basics and advanced topics of ML/AI
Learn to choose the best ML models for specific business situations
Work with industry experts on developing business and technical applications
Develop your portfolio on GitHub
Classes held by the globally recognized faculty of UC Berkeley
Duration: 6 months
Rating: 4.7 out of 5
You can Sign up Here
Post Graduate Certificate Program in AI and Machine Learning (IBM – Purdue University)
Created in collaboration with IBM, this postgraduate program is focused on teaching you all the concepts of artificial intelligence and machine learning. In this program, you will cover some of the most comprehensive concepts of AI and ML, such as statistics, python programming, machine learning, deep learning networks, NLP, and reinforcement learning. During the lectures, you will learn how to build and deploy deep learning models on the cloud with AWS SageMaker while working with voice assistance devices and gaining access to GPD-enabled labs. The program will also provide you with Purdue Alumni Association membership, 25+ hands-on projects, enrollment in Simplilearn’s job assist, and capstone projects.
Highlights –
– A practical postgraduate program that will take you on a learning journey to help you cultivate your career in AI, Deep learning, and Machine learning
– Learn about multiple AI-based technologies, such as machine learning, deep learning, computer vision, natural language processing, reinforcement learning, and speech recognition
– Master the concepts of Deep Learning that will help you build artificial neural networks and traverse layers of data abstraction with tools like TensorFlow and Keras
– Know about the concepts of NLP, feature engineering, automated speech recognition, speech to text conversion, text to speech conversion, and voice assistant devices
Duration: 12 months, 5-10 hours/week
Rating: 4.7 out of 5
You can Sign up Here
Review: I would give a 5-star rating for the Simplilearn course I took. It helps me understand the content easily through online self-learning videos, and trainers assist us with their enriched knowledge, as well. – Jahanvi
Oxford AI-Driven Business Transformation Executive Programme (University of Oxford Said Business School)
The Oxford AI-Driven Business Transformation Executive Programme is one of the most comprehensive AI courses designed specifically for senior professionals and decision-makers. Offered by the globally respected Saïd Business School, University of Oxford, this 6-month online course stands apart by combining technical awareness of artificial intelligence with strategic, ethical, and organizational leadership skills. It’s not a coding bootcamp or a data science primer—instead, it’s an executive-level AI course that focuses on how to deploy AI as a tool for long-term, enterprise-wide transformation.
This programme merges content from three of Oxford’s premier executive offerings—Artificial Intelligence, Strategic Innovation, and Executive Strategy—into one immersive learning experience. Participants learn how to evaluate AI opportunities, align them with business strategy, and develop governance models for responsible implementation. Through Oxford’s signature 4Ps framework—Purposes, Players, Partnerships, and Processes—learners create a capstone project that outlines a tailored AI adoption roadmap for their own organization. Whether you’re leading a digital transformation initiative or exploring AI for competitive advantage, the course helps you connect emerging technology with measurable business impact.
With instruction from renowned Oxford faculty and over 25 global experts, the course provides a rich blend of academic insight and practical relevance. It is especially suitable for executives, senior managers, and cross-functional leaders in finance, healthcare, manufacturing, energy, government, and technology who want to understand how AI can be ethically and effectively integrated into their core operations.
Highlights –
– Earn an Executive Certificate from Saïd Business School, University of Oxford, affirming your expertise in AI-driven business transformation
– Learn how to assess, lead, and govern AI initiatives using Oxford’s 4Ps strategy model
– Apply AI to real-world use cases including process automation, data-driven decision-making, and customer personalization
– Understand key ethical, regulatory, and organizational challenges in scaling AI systems
– Engage with Oxford faculty and 25+ global experts through case studies, expert-led sessions, and interactive projects
– Collaborate with a global cohort of peers from diverse industries for enriched learning and strategic exchange
– Benefit from Oxford’s executive alumni network and edX career resources for ongoing development
Mode: 100% Online – includes live sessions, self-paced content, and structured assignments
Duration: 6 months (including orientation and scheduled breaks)
Rating: 4.6 out of 5
You can Sign up Here
Artificial Intelligence & Machine Learning Bootcamp (Caltech CTME)
The online Bootcamp is designed for professionals with an analytical mindset who want to transition into AI and ML. Created in collaboration with IBM, this program delivers a high-engagement learning experience, leveraging Caltech’s academic excellence and IBM’s industry prowess in the field of artificial intelligence and machine learning. You’ll learn how to leverage AI and ML technologies for innovation, creation, design, and other business aspects. Throughout this comprehensive Bootcamp program, you will receive industry-specific training from global experts and masterclasses from famous Caltech faculty. On the competition of this online program, you will accelerate your career and become an AI & ML Expert in 7 months.
Highlights –
– A well-established and recognized curriculum that will take you on an exclusive tour for NASA’s Jet Propulsion Lab and Caltech’s Robotics Lab
– Validate your AI & ML skills by receiving a program completion certificate from Caltech CTME and IBM certificates for IBM courses
– Earn up to 22 CEUs from Caltech CTME and Caltech CTME Circle Membership on the completion of the program
– Learn about several technologies, including deep learning, NLP, neural networks, speech recognition, and computer vision
Duration: Variable
Rating: 4.6 out of 5
You can Sign up Here
Professional Certificate Course in Generative AI and Machine Learning (Indian Institute of Technology Kanpur)
The use of artificial intelligence and machine learning improves data-based decisions and leads to faster decision-making and project execution, but it requires professionals to understand these technologies by training on some important technologies like natural language processing, cloud vision, TensorFlow, BigQuery, and others. Once you have gone through the first module that prepares you for this learning journey with the fundamentals of AI and machine learning, you will take a look at applied data science with Python to know the practical applications of data science and various associated concepts like NumPy, array indexing and slicing techniques, using linear algebra in data analysis, and more. Under the module focused on machine learning, the course investigates the machine learning pipeline, MLOps, supervised learning, overfitting and underfitting identification and prevention methods, visualizing variable linearity using correlation maps, exploring classification algorithms and their practical applications, unsupervised learning techniques, and more. You will gain practical insights into using the popular generative AI tools like ChatGPT after developing your skills in prompt engineering which is needed to get the best and most appropriate response from these tools for your text and image content requirements needed for different applications.
Highlights:
The course offers three projects to develop your practical generative AI and machine learning skills.
You will receive your digital certificates, one for the main program and one for completing the Microsoft Azure AI Fundamentals course component.
This program covers important skills for mastering generative AI, prompt engineering, machine learning algorithms, ChatGPT, explainable AI, and more.
It covers well-known AI tools like ChatGPT, OpenAI, Hugging Face, Dall-E 2, Python, TensorFlow, Keras, NumPy, and more.
Get job assistance under Simplilearn’s JobAssist program to connect with top hiring companies.
Live virtual classroom conducted by experienced industry experts.
Duration: 11 months
Rating: 4.8 out of 5
You can Sign up Here
Bonus: Artificial Intelligence (AI) Courses
IBM AI Engineering Professional Certificate (Coursera)
If you want to be a part of the fast pacing field, artificial intelligence, then this professional certification program can open the right path for you. This program consists of six different courses that will provide you with a practical understanding of Machine learning and Deep learning concepts. In this course, you will learn the fundamental concepts of ML and Deep learning with both supervised and unsupervised learning. This course is designed by an experienced faculty of IBM to help individuals cover every essential topic related to artificial intelligence. Only after finishing all the six courses, you will be able to receive a professional certificate in AI Engineering.
Highlights –
– Learn how to utilize the popular machine learning and deep learning libraries like SciPy, ScikitLearn, PyTorch, etc.
– Learn how TensorFlow is applied to industry problems involving text analytics, object recognition, natural language processing, and other types of classifiers
– Dive into the individual concepts of machine learning with an approachable and professional programming language, Python
– Obtain the skills to scale data science and machine learning tasks on Big Data sets using Apache Spark
– Be able to build, train, and deploy different types of deep architectures, as well as convolutional networks, recurrent networks, and autoencoders
Duration: 3 months
Rating: 4.7 out of 5
Free Artificial Intelligence Courses (Udemy)
If you want to access all the relevant and best courses on artificial intelligence, then Udemy is the best resource for you. It offers a list of numerous AI courses, focused on expanding your skills and make you an expert in this field. Amongst these courses, the best-sellers are Artificial Intelligence A-Z: Learn to Build AI, Deep Learning and Computer Vision A-Z, Artificial Intelligence: Reinforcement Learning in Python, and Advanced AI: Learning in Python. Taking these courses will not only provide you with the fundamental concepts of AI, but you will be very well equipped with the significant aspects and techniques of artificial intelligence. More than that, all of these courses are available with a 30 days free trial, so you can review each session carefully, and then select the desired course.
Highlights –
– A massive list of AI courses to choose from, each of which is designed to give you in-depth knowledge of basics as well as advanced concepts
– Developed and reviewed by expert instructors of AI who will assist you at every stage of learning
– Avail multiple video lectures, notes, quizzes, and practice exams to review your skills and test your knowledge in the subject
– Learn skills like Python programming, machine learning, deep learning, neural networks, TensorFlow, and much more
Duration: Self-paced
Rating: 4.7 out of 5
Free Course Trial – AI For Everyone by Andrew Ng (Coursera)
Artificial intelligence is considered to be one of the more complex topics in technology but its use in our daily lives cannot be overstated. So if you want your organization to become better at using this technology then this program is worth a look. In the classes, you will learn the meaning behind basic and crucial terminologies, what AI can do and cannot do, spot opportunities to apply AI solutions to problems in your organization and more. By the end of the lectures, you will be proficient in the business aspects of AI and apply them aptly in relevant situations. The course is created by Andrew Ng, the pioneer in the field of artificial intelligence, and the founder of Coursera.
Highlights-
– Understand what it is like to build machine learning and data science projects.
– Work with an artificial intelligence team and build a strategy in your company.
– Navigate ethical and societal discussions surrounding this field.
– The lessons do not require any prerequisites, hence it can be taken by anyone with any level of experience.
– The deadlines of the classes can be adjusted as per your convenience.
Duration: 4 weeks, 2 to 3 hours per week
Rating: 4.9 out of 5
Review : It’s a fantastic course by Andrew. Everyone should take it to understand how AI can impact any software system.
Introduction to Artificial Intelligence by IBM (Coursera)
Offered by IBM, this introductory course will guide you to the basics of artificial intelligence. With this course, you will learn what AI is and how it used in the software or app development industry. During the course, you will be exposed to various issues and concerns that surround artificial intelligence like ethics and bias, and jobs. After completing the course, you will also demonstrate AI in action with a mini project that is designed to test your knowledge of AI. Moreover, after finishing the project, you will also receive your certificate of completion from Udacity.
Highlights –
– Learn and understand AI concepts and useful terms like machine learning, deep learning, and neural networks
– No prior knowledge of programming or computer science required to enroll in this course
– Get advice from experts about learning artificial intelligence better and how to start a career in this growing field
– Be eligible to enter into other classes and programs like AI Foundations, IBM Applied AI professional certificate after finishing this course
– 100% flexible course with no deadlines and freedom to study from your own pace
Duration: 4 weeks, 1-2 hours/week
Rating: 4.7 out of 5
Free Artificial Intelligence Courses (edX)
If you are looking for free artificial intelligent courses, then edX is providing free online courses and tutorials entirely focused on AI, machine learning, and robotics. The specialty of these courses is that all of them are designed and created by top institutions in the world like Harvard, Columbia, Microsoft, and others. From computer vision and image analysis to robotics: kinematics and mathematical foundations, you can choose any topic that you want to learn and expand your career with. And if you pay a small fee after completing the course, you can even obtain your certificate of completion in the specific course.
Highlights –
– A variety of courses to choose from based on your knowledge and requirements that will help you learn core concepts
– Know about the fundamentals of AI, Machine Learning, Robotics, and how they are useful in the upcoming time
– Understand computer science, math, psychology, natural language processing, neuroscience, data science, and many other disciplines
– Learn how to manipulate robotic arms, represent 2D and 3D spatial relationships, and explore unsupervised learning techniques
– Take guidance and help from instructors of top institutions who will assist you at every step of learning
Duration: Self-paced
Rating: 4.5 out of 5
Free AI Courses
Free Course – Artificial Intelligence in Human Resource Management (Alison)
Review: “Artificial Intelligence in Human Resource Management,” provided by Alison, is an enlightening course that unveils the transformative role of AI in HR practices.
The course concentrates on improving and automating various HR functions, including recruitment, employee engagement, and performance assessments. With its engaging content and interactive modules, learners delve into how AI tools can effectively analyze employee data, forecast workforce trends, and enhance decision-making processes. Additionally, the course discusses ethical considerations and emphasizes the significance of balancing AI abilities with human insights. This well-rounded approach provides HR professionals and managers the knowledge to integrate AI technology into their HR strategies effectively.
Duration: 3 hours
Free Course – Generative AI on AWS: Creating Intelligent Chatbots (Codecademy)
Review: Codecademy’s “Generative AI on AWS: Creating Intelligent Chatbots” offers an immersive educational experience designed to teach learners how to develop sophisticated chatbots using AWS technologies. This course spans a broad spectrum of topics, from grasping the fundamentals of natural language processing (NLP) to deploying and managing chatbots designed for complex interactions. Through practical exercises, learners will employ AWS services like Amazon Lex and AWS Lambda to build chatbots that enhance customer service and engagement. The curriculum also delves into training models to improve accuracy and functionality. With a focus on real-world applications, this course equips participants with the skills to implement AI-driven solutions in various business contexts.
Duration: 10 hours
Free Course – Artificial Intelligence in Project Management (Alison)
Review: Alison’s “Artificial Intelligence in Project Management” explores the integration of AI into project management, offering insights on how AI can streamline project operations. This course examines the application of AI for project scheduling, risk assessment, resource allocation, and performance monitoring. Participants will learn about AI tools to automate complex project tasks, increasing efficiency and accuracy. Each course section is designed to build upon the last, ensuring learners understand AI’s capabilities in enhancing project deliverables and outcomes. By the end of the course, professionals will be equipped to apply AI innovations to manage projects more effectively, optimizing tasks that traditionally required extensive human oversight.
Duration: 4 hours
Free Course – Google AI for Anyone (edX)
Review: “Google AI for Anyone” on edX is an accessible course designed to introduce a broad audience to the fundamentals of artificial intelligence. It demystifies AI by explaining its capabilities and potential impact on society. This course introduces fundamental AI concepts such as machine learning, deep learning, and data science principles. It also demonstrates how AI is integrated into various Google products and services to address real-world challenges. To engage participants and reinforce their understanding, the course includes interactive quizzes and practical exercises, enriching the learning experience. This course is particularly beneficial for individuals curious about AI, with no prior technical background required, making AI knowledge accessible to anyone interested in the technology’s societal and ethical implications.
Duration: 15 hours
Free Course – Deep Dive Into Generative AI with Azure OpenAI (Codecademy)
Review: “Deep Dive Into Generative AI with Azure OpenAI” from Codecademy provides an in-depth exploration of cutting-edge Generative AI technologies using Azure OpenAI. Learners with basic AI knowledge and who want to focus on generative models will benefit from this course. It will delve into advanced neural network creation, customization of models for specific uses, and implementing AI solutions using Azure’s cloud infrastructure. The program involves hands-on projects to help students implement their knowledge by creating practical AI applications like chatbots, content generators, and more. This course prepares learners to utilize Azure OpenAI to innovate and drive progress in their fields by focusing on real-world implementations and challenges.
Duration: 12 hours
Bonus Tip: How to Learn AI for Free?
Learning Artificial Intelligence (AI) for free is a viable and often advantageous path for many aspiring professionals and students. Given the exponential growth and impact of AI across various sectors, acquiring knowledge in this field is not just beneficial for a career in technology but is increasingly becoming essential for a wide range of professions. Here’s a comprehensive guide on how you can learn AI without incurring any costs.
Step 1: Understand the Fundamentals
Before diving into complex algorithms and coding, it’s crucial to build a strong foundation in the basics of AI. Start by learning the key concepts such as machine learning, deep learning, neural networks, natural language processing, and robotics. Many free resources are available online to get you started:
a. AI For Everyone by Andrew Ng on Coursera is an excellent introductory course for those who want to understand the capabilities and limitations of AI without getting into the technical details.
b. Elements of AI by the University of Helsinki offers a free introductory course, perfect for understanding basic concepts and the ethical considerations of AI.
Step 2: Dive into Online Courses
Once you have a good understanding of basic concepts, the next step is to deepen your knowledge through more structured and comprehensive courses:
a. Google AI Education provides a variety of learning paths for beginners to advanced users. These courses focus on practical implementations of AI using Google’s cutting-edge technologies.
b. Machine Learning by Andrew Ng on Coursera offers a deeper dive into machine learning, a pivotal component of AI, with practical assignments and robust tutorials.
Step 3: Join AI Communities and Forums
Engaging with communities is vital. It helps you stay updated with the latest trends, share knowledge, and even find mentorship. Platforms like GitHub, Stack Overflow, and specific subreddits like r/MachineLearning are teeming with enthusiasts and professionals who are usually keen to share advice and insights.
Step 4: Utilize Free Tools and Libraries
Practical experience is critical in AI, and thankfully, there are numerous free tools and libraries designed to help learners practice their skills without any financial investment:
a. TensorFlow and PyTorch are two of the most popular AI libraries that allow for hands-on learning with neural networks and deep learning.
b. Google Colab provides a free cloud service based on Jupyter Notebooks for AI practitioners to experiment with Python code and its libraries.
Step 5: Work on Projects and Challenges
The best way to learn AI is by doing. Apply your theoretical knowledge by working on real-world problems:
a. Participate in online competitions on platforms like Kaggle. These challenges will not only give you practical experience but also help you learn from the global community of data scientists and AI experts.
b. Start with small projects like building a spam filter, a recommendation system, or even a simple chatbot. Gradually, as your skills improve, scale up to more complex projects.
Step 6: Follow Online Tutorials and Blogs
Many AI experts share their knowledge through blogs and tutorials. Websites like Medium, Towards Data Science, and Analytics Vidhya host a wealth of articles and guides where you can learn about the latest advancements and case studies in AI.
Step 7: Take Advantage of Free Books and Academic Papers
Several free resources can provide deep insights into AI:
a. “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville is available online for free and is an excellent resource for understanding deep learning in detail.
b. ArXiv.org is a repository of electronic preprints (known as e-prints) approved for publication after moderation but not full peer review. It’s a great way to keep up with cutting-edge research in AI.
So that was our take on what we found to be the Best Artificial Intelligence Courses, Training, Tutorials and Certifications. Hope they helped you find what you were looking for. Wish you the best wish learning, growing and earning more! Cheers, Team Digital Defynd 🙂
