These courses cover a wide range of topics, from foundational concepts to advanced techniques, and are suitable for all levels of learners. Whether you're a beginner or an experienced professional, our courses can help you stay updated with the latest advancements in AI and machine learning.

Category Page Icons

AI & Machine Learning

Gain in-depth knowledge and skills in AI and machine learning with our curated courses. 

AI & Machine Learning Courses

Coursera With GroupifyAI

<h2>Features of Course</h2> 

<li>Contrast artificial intelligence (AI) with human intelligence, comprehend the evolution of AI since the 1950s, and identify industry applications.</li> 
<li>Utilize computational thinking, data fluency, design thinking, and creative and critical thinking in the context of AI applications.</li> 
<li>Describe the ethical considerations that are necessary for the development and use of AI, with a particular emphasis on privacy protection, transparency, fairness, and compliance.</li> 
<li>Describe the ways in which the thinking skills that are ingrained in Australian curricula can be employed to address issues where AI has the potential to be a contributing factor.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 21 
Offered by: On Coursera provided by Macquarie University 
Duration: 16 hours to complete 
Schedule: Flexible

AI Education for Teachers 2025 | GroupifyAI

The course on artificial intelligence (AI) compares AI to human intelligence, investigates the evolution of AI and its implications in industry, and addresses computational thinking, ethical considerations, and curriculum-based thinking skills.

AI Education for Teachers

<h2>Features of Course</h2> 

<li>Distinguish between legacy payment systems and new payment innovations.</li> 
<li>Define blockchain technology and evaluate its implementation in a variety of scenarios.</li> 
<li>Determine the determinants of a credit score and interpret it.</li> 
<li>Employ &quot;smart&quot; investing strategies.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 22 
Offered by: On Coursera provided by University of Michigan 
Duration: 1 month at 10 hours a week 
Schedule: Flexible

Financial Technology (Fintech) Innovations Specialization 2025 | GroupifyAI

In full AI course, you will learn about blockchain technology, credit score analysis, smart investing strategies, and master payment innovations.

Financial Technology (Fintech) Innovations Specialization

<h2>Features of Course</h2> 

<li>Align IT investments with business strategy by employing conceptual frameworks</li> 
<li>Specificate business requirements in the form of information system specifications.</li> 
<li>Evaluate the compatibility between enterprise system features and business requirements.</li> 
<li>Assess technological alternatives for the organization&#39;s IT infrastructure development.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 22 
Offered by: On Coursera provided by University of Minnesota 
Duration: 1 month at 10 hours a week 
Schedule: Flexible

Information​ ​Systems Specialization 2025 | GroupifyAI

Enhance your management of information technology to resolve business challenges.

Information? ?Systems Specialization

<h2>Features of Course</h2> 

<li>How to establish guiding principles for responsible AI</li> 
<li>Methods for recognizing the characteristics of prevalent AI assignments</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 21 
Offered by: On Coursera provided by Microsoft 
Duration: 3 hours (approximately) 
Schedule: Flexible

AI on Microsoft Azure 2025 | GroupifyAI

Begin your AI voyage with our comprehensive course on Microsoft Azure, which covers key AI concepts, responsible AI principles, and preparation for the AI-900 certification exam. This course is suitable for both beginners and experienced professionals.

AI on Microsoft Azure

<h2>Features of Course</h2> 

<li>How to enhance customer engagement through data-driven AI</li> 
<li>Methods for creating networked business models and capitalizing on network effects</li> 
<li>How to establish a sustainable competitive advantage by leveraging data collected from digital platforms</li> 
<li>How to generate AI Relationship Moments that are tailored to the unique needs of individual consumers by utilizing data, networks, and algorithms</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 22 
Offered by: On Coursera provided by University of Virginia 
Duration: 10 hours to complete 
Schedule: Flexible

AI in Marketing 2025 | GroupifyAI

The course covers the following topics: leveraging digital platform data for competitive advantage, generating personalized AI Relationship Moments, constructing networked business models, and enhancing customer engagement with data-driven AI.

AI in Marketing

<h2>Features of Course</h2> 

<li>Algorithm conceptual paradigm of machine learning</li> 
<li>A conceptual framework for the interpretation of the results of machine learning</li> 
<li>Experiment with the application of machine learning algorithms to business data.</li> 

Level: Intermediate 
Certification Degree: Yes 
Languages the Course is Available: 22 
Offered by: On Coursera provided by Illinois 
Duration: 14 hours (approximately) 
Schedule: Flexible

ML Algorithms with R in Business Analytics 2025 | GroupifyAI

The course page delves into the practical applications of machine learning algorithm paradigms, frameworks for interpreting results, and business data analysis.

ML Algorithms with R in Business Analytics

<h2>Features of Course</h2> 

<li>Introduction to digital health: Investigate the applications and function of technologies such as wearables, AI, mobile apps, and big data in the healthcare sector.</li> 
<li>The development and execution of digital health interventions: Discuss subjects such as regulatory aspects, ethical considerations, design thinking, and technology adoption and implementation strategy.</li> 
<li>Assessment of digital health technologies: In the evaluation of digital health interventions, prioritize economic evaluation, experimental design approaches, and data management.</li> 
<li>Project for applied learning: Participate in interactive assessments and peer-reviewed projects to develop and critique evaluation plans for innovative digital health interventions that address real-world challenges such as sepsis monitoring and social isolation.</li> 

Level: Intermediate 
Certification Degree: Yes 
Languages the Course is Available: 21 
Offered by: On Coursera provided by Imperial College London 
Duration: 2 months at 10 hours a week 
Schedule: Flexible

Digital Health Specialization 2025 | GroupifyAI

Explore the multidisciplinary field of digital health, covering technologies like mobile apps, wearables, AI, and big data, emphasizing their role in public health and healthcare systems, and prepare learners to design, implement, and evaluate digital health interventions.

Digital Health Specialization

<h2>Features of Course</h2> 

<li>Investigate data mining techniques that are specifically designed for healthcare environments.</li> 
<li>Acquire an understanding of the theoretical underpinnings of critical data mining methodologies.</li> 
<li>Select and implement suitable methodologies, while assessing their advantages.</li> 
<li>Focus on practical solutions for data purification, transformation, and modeling in healthcare scenarios, while acquiring proficiency in contemporary data mining tools and essential programming skills.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by Northeastern University 
Duration: 18 hours to complete 
Schedule: Flexible

ML in Healthcare: Fundamentals & Applications
2025 | GroupifyAI

Explore healthcare data mining methods, theoretical foundations of key techniques, selection criteria, and practical applications with emphasis on data cleansing, transformation, and modeling for real-world problem solving.

ML in Healthcare: Fundamentals & Applications


<h2>Features of Course</h2> 

<li>Investigate the distinctions between human and machine learning.</li> 
<li>Explore supervised and unsupervised machine learning techniques.</li> 
<li>Examine AI&#39;s practical applications in learning management systems and educational tools.</li> 
<li>Critically analyze the impact and ethical implications of AI in education.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by Illinois 
Duration: 36 hours to complete 
Schedule: Flexible

ML & Human Learning 2025 | GroupifyAI

Explore the intersection of human and machine learning, covering supervised and unsupervised techniques, AI's impact on education, and applications in learning management systems, designed for educators and AI enthusiasts.

ML & Human Learning

<h2>Features of Course</h2> 

<li>Utilize TensorFlow.js to execute models in your browser.</li> 
<li>Prepare and deploy models on mobile devices with TensorFlow Lite.</li> 
<li>Utilize TensorFlow Data Services to more efficiently access, organize, and process training data.</li> 
<li>Utilize TensorFlow Hub, TensorFlow Serving, and TensorBoard to investigate four sophisticated deployment scenarios.</li> 


Level: Intermediate 
Certification Degree: Yes 
Languages the Course is Available: 22 
Offered by: On Coursera provided by DeepLearning.AI 
Duration: 1 month at 10 hours a week 
Schedule: Flexible

TensorFlow: Data and Deployment Specialization 2025 | GroupifyAI

Utilize TensorFlow.js for browser-based model execution, TensorFlow Lite for mobile deployment, TensorFlow Data Services for optimized data management, and TensorFlow Hub, Serving, and TensorBoard for advanced deployment scenarios.

TensorFlow: Data and Deployment Specialization

<h2>Features of Course</h2> 

<li>Utilizing key performance indicators (KPIs) to assess the effectiveness of campaigns, you will develop a digital marketing strategy and an Ad Campaign on Google Ads.</li> 
<li>In order to make well-informed marketing decisions, you will employ Google Analytics, the Google search engine, the Python programming language, and Anaconda Navigator.</li> 
<li>It also employ text mining techniques to analyze consumer feedback and sentiment in the context of marketing.</li> 


Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by O.P. Jindal Global University 
Duration: 3 months at 10 hours a week 
Schedule: Flexible

ML for Marketing Specialization 2025 | GroupifyAI

Master the art of machine learning in the field of marketing. This five-course Specialization from Jindal Global Business School (JGBS) is designed for marketing professionals and individuals who are interested in acquiring a more comprehensive understanding of the process of conceptualizing effective marketing strategies and decisions using Machine Learning (ML) and Decision Science.

ML for Marketing Specialization

<h2>Features of Course</h2>

<li>Recall the fundamental terminology of the cloud. </li>
<li>Determine the products and solutions of Google Cloud that facilitate digital transformation.</li>
<li>Describe the ways in which organizations can innovate by utilizing cloud technology and data.</li>
<li>Identify the primary change patterns and Google Cloud products that are essential for the modernization of infrastructure and applications.</li>

Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Google Cloud Training
Duration: 1 month at 10 hours a week
Schedule: Flexible

Google Cloud Digital Leader Training Professional Certificate 2025 | GroupifyAI

Acquire a basic understanding of digital transformation and cloud computing. Boost your cloud confidence to enable you to engage in discussions with colleagues in technical cloud positions and make informed business decisions regarding cloud technology.

Google Cloud Digital Leader Training Professional Certificate

<h2>Features of Course</h2> 

<li>The initial course provides an introduction to the fundamental concepts of Google Cloud that are necessary for the transformation of business models through the use of data, ML, and AI.</li> 
<li>The specialization is designed for individuals who are interested in the impact of AI and ML on business opportunities and changes in the cloud, without the need for prior experience in cloud, programming, or ML.</li> 
<li>Technical training that is conducted through hands-on experience is not included in the courses.</li> 
<li>The applied learning initiative is dedicated to comprehending the influence of AI and ML on cloud data in order to facilitate business transformation.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by Google Cloud Training 
Duration: 1 month at 10 hours a week 
Schedule: Flexible

Digital Transformation Using AI/ML with Google Cloud Specialization 2025 | GroupifyAI

The course introduces Google Cloud fundamentals for transforming business models with data, ML, and AI, targeting those interested in cloud AI/ML impacts on business without requiring prior experience, and excludes hands-on technical training.

Digital Transformation Using AI/ML with Google Cloud Specialization

<h2>Features of Course</h2> 

<li>Create a Cognitive Services resource for Computer Vision through the Azure Portal.</li> 
<li>Utilize the API console to access the resource and comprehend the process of generating predictions.</li> 
<li>Comprehend the various API variations and features that Computer Vision provides.</li> 

Level: Intermediate 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by Microsoft 
Duration: 1.5 hours 
Schedule: Flexible

Computer vision app with Azure Cognitive Services 2025 | GroupifyAI

This project guides you in setting up and using an Azure Computer Vision Cognitive Services resource to make API calls, providing foundational skills for AI and Machine Learning solutions in Microsoft Azure.

Computer vision app with Azure Cognitive Services

<h2>Features of Course</h2> 

<li>Artificial intelligence is becoming an essential component of business operations, and neglecting to leverage it could result in the loss of substantial opportunities.</li> 
<li>It is essential to comprehend the fundamentals of AI, its relevance, the typical AI journey, and initiating conversations with AI personas in order to effectively promote AI solutions.</li> 
<li>Increasing the seller&#39;s confidence in the Intel AI portfolio by providing exhaustive knowledge and representative case studies that are applicable to a variety of industries and use cases.</li> 
<li>Through the course, you will acquire the ability to recommend and sell AI solutions by enhancing your comprehension of AI&#39;s function and influence.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by Intel 
Duration: 3 months at 2 hours a week 
Schedule: Flexible

Intel AI Fundamentals Specialization 2025 | GroupifyAI

This course prepares you to effectively promote and sell AI solutions by providing a deep understanding of AI fundamentals, relevance, and practical applications.

Intel AI Fundamentals Specialization

<h2>Features of Course</h2> 

<li>This course provides a succinct summary of the multivariate calculus necessary for the development of common machine learning techniques, ranging from fundamental slope concepts to formal gradient definitions.</li> 
<li>Create a collection of calculus instruments, acquire the ability to calculate vectors on multidimensional surfaces, and apply this knowledge through interactive activities.</li> 
<li>Investigate the application of calculus to approximate functions and evaluate the precision of these approximations, as well as its role in neural network training.</li> 
<li>Acquire a thorough comprehension of calculus and the requisite language to conduct independent research, thereby fostering confidence for more advanced machine learning courses.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 22 
Offered by: On Coursera provided by Imperial College London 
Duration: 17 hours (approximately) 
Schedule: Flexible

Mathematics for ML: Multivariate Calculus 2025 | GroupifyAI

This course offers a concise summary of essential multivariate calculus for machine learning, including practical tools, vector calculations, function approximation, and neural network applications, to build confidence for advanced studies.

Mathematics for ML: Multivariate Calculus

<h2>Features of Course</h2> 

<li>The operation of diffusion models</li> 
<li>Applications of diffusion models that are practical</li> 
<li>Diffusion models that are not</li> 
<li>Developments in diffusion models (text-to-image)</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 11 
Offered by: On Coursera provided by Google Cloud Training 
Duration: 1 hour to complete 
Schedule: Flexible

Intro to Image Generation 2025 | GroupifyAI

Explore the functionality, practical applications, limitations, and advancements of diffusion models, including their text-to-image applications.

Intro to Image Generation

<h2>Features of Course</h2>

<li>Load data into BigQuery and investigate and develop new features within the platform.</li>
<li>Build an unsupervised model for the purpose of detecting anomalies.</li>
<li>Develop supervised models for the purpose of detecting fraud, utilizing logistic regression and boosted trees.</li>
<li>Evaluate and compare the models, select the champion, and employ the selected model to forecast the probability of fraud on a test dataset.</li>

Level: Intermediate 
Certification Degree: Yes 
Languages the Course is Available: 1
Offered by: On Coursera provided by Google Cloud Training
Duration: 1.5 hours
Schedule: Flexible

Fraud Detection on Financial Transactions with ML on Google Cloud 2025 | GroupifyAI

Learn to load data, create features, and build and evaluate both supervised and unsupervised models in BigQuery for fraud and anomaly detection.

Fraud Detection on Financial Transactions with ML on Google Cloud

<h2>Features of Course</h2>

<li>Comprehend the concept of inventive thinking techniques.</li>
<li>Fully comprehend their significance in the context of routine problem-solving and global challenges.</li>
<li>Choose and implement the appropriate approach in accordance with the opportunity to capitalize on or the issue to resolve.</li>

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 22
Offered by: On Coursera provided by Imperial College London
Duration: 3 weeks at 6 hours a week
Schedule: Flexible

Creative Thinking: Techniques and Tools for Success 2025 | GroupifyAI

Master inventive thinking techniques and their application in routine problem-solving and addressing global challenges by selecting and implementing the appropriate approach for each situation.

Creative Thinking: Techniques and Tools for Success

<h2>Features of Course</h2> 

<li>Begin Your Salesforce Career. Acquire the fundamental Salesforce skills necessary to commence a new vocation.</li> 
<li>Develop dashboards, reports, and visualizations in Salesforce to effectively convey pertinent sales performance data to executives and stakeholders.</li> 
<li>Utilize Salesforce Sales Cloud Lightning to oversee accounts, opportunities, products, proposals, and contracts.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by Salesforce 
Duration: 3 months; approx. 10 hours a week 
Schedule: Flexible

Salesforce Sales Operations Professional Certificate 2025 | GroupifyAI

Begin Your Salesforce Career. Acquire the fundamental Salesforce skills necessary to commence a new vocation.

Salesforce Sales Operations Professional Certificate

<h2>Features of Course</h2> 

<li>Gain an understanding of the ethical and societal ramifications of AI, such as its influence on democracy, algorithmic bias, and surveillance.</li> 
<li>Develop an understanding of the intricacies of consciousness and intelligence, and investigate methods for the creation of artificial consciousness.</li> 
<li>Discover the concepts of accountability in autonomous systems and safe AI development, as well as the concepts of responsibility and control in AI.</li> 
<li>Develop the capacity to engage in discussions and contemplate the ethical and societal implications of AI, with a fundamental comprehension of AI bias, democracy, intelligence, consciousness, and control issues.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 21 
Offered by: On Coursera provided by Lund University 
Duration: 3 weeks at 4 hours a week 
Schedule: Flexible

AI: Ethics & Societal Challenges 2025 | GroupifyAI

A four-week course that explores the ethical and societal implications of artificial intelligence, addressing topics such as AI bias, surveillance, democracy, consciousness, responsibility, and control, and fostering reflection and discussion on these issues.

AI: Ethics & Societal Challenges

<h2>Features of Course</h2> 

<li>How artificial intelligence (AI) can provide you with more accurate information to inform your decision-making process.</li> 
<li>How artificial intelligence (AI) can assist in the automation of processes and the enhancement of efficiency.</li> 
<li>How AI will affect your industry in order to capitalize on the advantages and circumvent the traps.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 22 
Offered by: On Coursera provided by Lund University 
Duration: 11 hours to complete 
Schedule: Flexible

AI, Business & the Future of Work 2025 | GroupifyAI

Understand how AI improves decision-making accuracy, automates processes for increased efficiency, and impacts your industry to maximize benefits and avoid pitfalls.

AI, Business & the Future of Work

<h2>Features of Course</h2> 

<li>Identify the data-to-AI technologies and tools provided by Google Cloud.</li> 
<li>Utilize the capabilities of generative AI in applications.</li> 
<li>Select from a variety of alternatives to create an AI project on Google Cloud.</li> 
<li>Utilize Vertex AI to construct ML models from start to finish.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 11 
Offered by: On Coursera provided by Google Cloud 
Duration: 9 hours (approximately) 
Schedule: Flexible

Intro to AI and Machine Learning on Google Cloud 2025 | GroupifyAI

Learn to leverage Google Cloud's data-to-AI tools, generative AI capabilities, and Vertex AI for comprehensive ML model development.

Intro to AI and Machine Learning on Google Cloud

<h2>Features of Course</h2> 

<li>Acquire an understanding of the fundamentals of Linear Algebra and Supervised and Unsupervised Machine Learning Models.</li> 
<li>Investigate the scalability of SparkML, a popular Python machine learning framework, alongside Scikit-Learn.</li> 
<li>Acquire practical experience by adjusting models in parallel and assessing a variety of parameter combinations.</li> 
<li>Utilize machine learning algorithms to generate and analyze vibration sensor data from your smartphone in a real-world IoT example.</li> 

Level: Advanced 
Certification Degree: Yes 
Languages the Course is Available: 22 
Offered by: On IBM provided by IBM 
Duration: 32 hours (approximately) 
Schedule: Flexible

Advanced ML & Signal Processing 2025 | GroupifyAI

Gain foundational knowledge of Linear Algebra and Machine Learning models, explore the scalability of SparkML and Scikit-Learn, and gain practical experience by adjusting models and analyzing vibration sensor data in a real-world IoT example.

Advanced ML & Signal Processing

<h2>Features of Course</h2> 

<li>Develop a basic comprehension of the utilization of Big Data, AI, and Machine Learning to facilitate business operations, which includes the ethical considerations and governance frameworks for AI applications.</li> 
<li>Develop effective marketing strategies that optimize the consumer journey and lifecycle by employing data analytics and personalization strategies.</li> 
<li>Hear the perspectives of industry executives on the ways in which AI and Big Data are transforming business operations.</li> 
<li>Utilize course concepts in assessments and peer-review exercises, which encompass subjects such as ethical AI strategies for people management, machine learning tools, and data analytics.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 21 
Offered by: On Coursera provided by University of Pennsylvania 
Duration: 1 month at 10 hours a week 
Schedule: Flexible

AI For Business Specialization 2025 | GroupifyAI

Learn the fundamentals of artificial intelligence (AI) and machine learning. Formulate a deployment strategy that capitalizes on the most advanced technologies to integrate AI, ML, and Big Data into your organization.

AI For Business Specialization

<h2>Features of Course</h2> 

<li>Understand common AI terminology, including deep learning, machine learning, neural networks, and data science.</li> 
<li>Learn the practical capabilities and limitations of AI and how to identify opportunities for applying AI within your organization.</li> 
<li>Gain experience in developing machine learning and data science initiatives, and learn how to collaborate with an AI team and develop an AI strategy.</li> 
<li>Navigate ethical and societal debates regarding AI, with a focus on enhancing AI capabilities in a non-technical context.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 21 
Offered by: On Coursera provided by DeepLearning.AI 
Duration: 3 weeks at 2 hours a week 
Schedule: Flexible

AI For Everyone 2025 | GroupifyAI

Gain a comprehensive understanding of AI terminology, applications, development, and strategy, while navigating ethical and societal considerations in a non-technical context.

AI For Everyone

<h2>Features of Course</h2> 

<li>Provide explicit definitions and distinguish between Generative AI, Artificial Intelligence (AI), and Large Language Models (LLMs). </li> 
<li>Develop strategies for utilizing artificial intelligence to develop course content and design courses.</li> 
<li>Outline the advantages, obstacles, and ethical implications of incorporating Generative AI into education.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by University of Colorado Boulder 
Duration: 3 weeks at 6 hours a week 
Schedule: Flexible

AI for Course Design 2025 | GroupifyAI

Define and differentiate Generative AI, AI, and LLMs, develop AI strategies for course creation, and address benefits, challenges, and ethics of Generative AI in education.

AI for Course Design

<h2>Features of Course</h2> 

<li>Formulate a Growth Marketing strategy that is powered by AI to enhance consumer engagement and sales. </li> 
<li>Employ artificial intelligence (AI) to develop marketing strategies that are both efficient and effective at each stage of the consumer journey. </li> 
<li>Utilize artificial intelligence (AI) tools to propel business expansion and revenue objectives. </li> 
<li>Optimize marketing initiatives and ROI by analyzing and implementing AI insights. </li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by Starweaver 
Duration: 3 weeks at 2 hours a week 
 
Schedule: Flexible

Grow with AI: Your AI-driven Growth Marketing strategy 2025 | GroupifyAI

Leverage AI to create and optimize growth marketing strategies, enhance consumer engagement, and drive business expansion and sales.

Grow with AI: Your AI-driven Growth Marketing strategy

<h2>Features of Course</h2> 

<li>Utilize the prompt engineering methods for generative AI to develop an input and output.</li> 
<li>Utilize your understanding of a single prompt engineering method to address a real-world problem.</li> 
<li>Describe two techniques for prompt engineering that are suitable for everyday applications.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by University System of Georgia 
Duration: 4 weeks at 1 hour a week 
Schedule: Flexible

AI for Everyday Life 2025 | GroupifyAI

Learn how to apply prompt engineering methods in generative AI to create input-output pairs, address real-world problems, and implement suitable techniques for everyday applications.

AI for Everyday Life

<h2>Features of Course</h2> 

<li>Investigate the origins of AI and evaluate its primary concepts and advantages.</li> 
<li>Diversify and identify AI engagement resources and tools.</li> 
<li>Analyze the diverse applications of current General AI.</li> 
<li>Evaluate potential future developments of General AI.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by Coursera Instructor Network 
Duration: 1 hour to complete 
Schedule: Flexible

General AI Mastery Toolbox: Master AI & Drive Success 2025 | GroupifyAI

Explore the origins, concepts, tools, applications, and future developments of AI.

General AI Mastery Toolbox: Master AI & Drive Success

<h2>Features of Course</h2> 

<li>Basics of Generative Artificial Intelligence</li> 
<li>Impact of Generative AI on the Economy and Business</li> 
<li>Employment Consequences and Potential Risks of GenAI</li> 
<li>Insights from Speakers from Google, OpenAI, Scale AI, and Other Leading AI Companies</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 21 
Offered by: On Coursera provided by Stanford University 
Duration: 3 weeks at 1 hour a week 
Schedule: Flexible

AI Awakening: Implications in Economy & Society 2025 | GroupifyAI

Learn the basics of Generative AI and its economic and business impact, employment consequences, potential risks, and insights from industry leaders like Google and OpenAI.

AI Awakening: Implications in Economy & Society

<h2>Features of the Course:</h2> <ul><li>Examine the historical development of Generative AI and AI in order to foster critical thinking. </li>
<li>Distinguish between a variety of generative AI models and determine their advantages in different frameworks.</li>
<li>Formulate strategies for the integration of generative AI applications into business environments and identify the most suitable models for particular contexts. </li>
<li>Describe the advantages and benefits of incorporating generative AI into real-world business settings.</li></ul> Level: BeginnerCertification Degree: YesLanguages the Course is Available: 21Offered by: On Coursera offered by Coursera Instructor NetworkDuration: 2 hoursSchedule: Flexible

AI for Business: Generation & Prediction 2024|GroupifyAI

Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.

AI for Business

<h2>Features of the Course:</h2> <ul><li>Familiarize yourself with the fundamentals of artificial intelligence engineering.</li>
<li>Work with vector databases and generate text embeddings</li>
<li>Develop AI agents that interact with APIs and utilize tools.</li></ul> Level: IntermediateCertification Degree: YesLanguages the Course is Available: 22Offered by: On Coursera offered by ScrimbaDuration: 1 month at 10 hours a weekSchedule: Flexible

AI Engineering 2024|GroupifyAI

Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.

AI Engineering

These courses focus on the principles and practices of generative models, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other cutting-edge techniques. Our courses are designed to enhance your understanding and expertise in creating AI-generated content.

Generative AI

Learn about the fascinating world of generative AI and its applications through our specialized courses. 

Generative AI Courses

<h2>Features of Course</h2> 

<li>Define the essential models and fundamental concepts of generative AI.</li> 
<li>Define the concept of foundation models in generative AI.</li> 
<li>Investigate the capabilities of pre-trained models for AI-powered applications. </li> 
<li>Investigate the capabilities, applications, and features of various generative AI platforms, including IBM Watson and Hugging Face.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 21 
Offered by: On Coursera provided by IBM 
Duration: 6 hours (approximately) 
Schedule: Flexible

Gen AI: Foundation Models and Platforms 2025 | GroupifyAI

The course delves into the fundamental models and concepts of generative AI, as well as foundation models, pre-trained models for AI applications, and a variety of generative AI platforms, including IBM Watson and Hugging Face.

Gen AI: Foundation Models and Platforms

<h2>Features of Course</h2>

<li>AI and ML are becoming ubiquitous across devices and industries, prompting the need for a deep understanding of DL and ML technologies.</li>
<li>The course is structured into three sections: future business strategy based on DL and ML, fundamental DL and ML technologies, and hands-on TensorFlow Playground projects.</li>
<li>Topics covered include NN, CNN, RNN systems, and state-of-the-art products/services along with open-source DL software.</li>
<li>Aimed at aiding in business strategy development and technical planning for new DL and ML services and products, the course offers practical insights and experience in designing DL NNs.</li>

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 22
Offered by: On Coursera provided by Yonsei University 
Duration: 3 weeks at 2 hours a week
Schedule: Flexible

Deep Learning for Business 2025 | GroupifyAI

The course provides comprehensive coverage of AI and ML's increasing integration, structured into three sections focusing on business strategy, fundamental technologies, and hands-on projects, to aid in strategy development and technical planning.

Deep Learning for Business

<h2>Features of Course</h2>

<li>Assess the potential of LLMs and capitalize on their capabilities to enhance their operations.</li>
<li>Examine the current limitations in specific business applications and the opportunities offered by current LLMs.</li>
<li>Develop a roadmap for the development and implementation of new business concepts that utilize LLMs.</li>
<li>Examine the current trends in LLMs and strive to &quot;cut through the noise.&quot;</li>

Level: Beginner 
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Coursera Instructor Network
Duration: 2 hours to complete
Schedule: Flexible

Understanding LLM in Business 2025 | GroupifyAI

Explore LLM potential, address limitations, devise business strategies, and stay updated on LLM trends for effective implementation in business operations.

Understanding LLM in Business

<h2>Features of Course</h2> 

<li>Gain knowledge and skills to create a distinctive and recognizable brand that fosters customer loyalty.</li> 
<li>Learn to use Generative AI for creating effective and compelling logos as part of a brand strategy.</li> 
<li>Ideal for marketing professionals aiming to establish a strong brand identity for their organization.</li> 
<li>Acquire valuable insights into applying Generative AI for logo creation and brand awareness.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by University of Virginia Darden School Foundation 
Duration: 1 hour (approximately) 
Schedule: Flexible

Advertising in the Age of Gen AI 2025 | GroupifyAI

Learn to use Generative AI for creating compelling logos and establishing a strong brand identity that fosters customer loyalty.

Advertising in the Age of Gen AI

<h2>Features of Course</h2> 

<li>Dive into the intersection of law and technology with &quot;Prompt Engineering for Law,&quot; tailored for legal professionals keen on leveraging Generative AI.</li> 
<li>Delve into the fundamentals of Generative AI, exploring its applications in legal contexts like contract analysis and litigation support.</li> 
<li>Address ethical and privacy concerns integral to the legal profession, emphasizing the responsible integration of AI through precise prompt creation.</li> 
<li>Engage in practical exercises throughout the specialization to develop, test, and refine prompts, enhancing legal research, document drafting, and due diligence processes.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 21 
Offered by: On Coursera provided by Vanderbilt University 
Duration: 1 month at 10 hours a week 
Schedule: Flexible

Prompt Engineering for Law Specialization 2025 | GroupifyAI

Law's Generative AI Advantage. Utilize Generative AI to revolutionize legal research and practice.

Prompt Engineering for Law Specialization

<h2>Features of Course</h2> 

<li>Understand the definition and practical applications of Generative AI in various legal tasks.</li> 
<li>Explore ethics and privacy concerns related to Generative AI in the legal field.</li> 
<li>Learn fundamental prompt engineering strategies for legal use cases.</li> 
<li>Develop skills to adapt to the evolving landscape of Generative AI and foster continuous learning for staying updated with technological advancements.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by Vanderbilt University 
Duration: 5 hours (approximately) 
Schedule: Flexible

Gen AI for Legal Services Primer 2025 | GroupifyAI

This course covers the definition, applications, ethical considerations, and adaptive skills necessary for utilizing Generative AI in legal tasks.

Gen AI for Legal Services Primer

<h2>Features of Course</h2> 

<li>How to evaluate meeting recordings in order to enhance plans, predict future actions, and assist teams in enhancing their coordination</li> 
<li>Which Microsoft 365 Copilot instrument should be employed for which task, and when should it be switched between?</li> 
<li>Methods for the development and revision of content that is tailored to specific audiences or is personalized for marketing purposes using Generative AI</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by Vanderbilt University 
Duration: 8 hours (approximately) 
Schedule: Flexible

Microsoft 365 Copilot: Personal Productivity for All 2025 | GroupifyAI

Learn to analyze meeting recordings for improving plans and team coordination, utilize Microsoft 365 Copilot effectively, and develop personalized marketing content using Generative AI.

Microsoft 365 Copilot: Personal Productivity for All

<h2>Features of Course</h2> 

<li>You will learn how to evaluate and enhance a chatbot’s performance for marketing and customer service.</li> 
<li>You will learn how to customize Generative AI for customer support and customer engagement.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by University of Virginia Darden School Foundation 
Duration: 1 hour to complete 
Schedule: Flexible

Customer Service in the Age of Gen AI 2025 | GroupifyAI

Learn to evaluate, enhance, and customize chatbots and Generative AI for marketing, customer service, and engagement.

Customer Service in the Age of Gen AI

<h2>Features of Course</h2> 

<li>Understand the significance, use cases, and concept of generative AI in a business context.</li> 
<li>Learn to articulate the definition of generative AI and its relationship to machine learning (ML).</li> 
<li>Describe the history of ML and generative AI services available at Amazon.</li> 
<li>Identify the advantages and disadvantages of generative AI.</li> 

Level: Beginner 
Certification Degree: No 
Languages the Course is Available: 21 
Offered by: On Coursera provided by Amazon Web Services 
Duration: 1 hour to complete 
Schedule: Flexible

Intro to Gen AI - Art of the Possible 2025 | GroupifyAI

Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

Intro to Gen AI - Art of the Possible

<h2>Features of Course</h2> 

<li>Gain a thorough comprehension of generative AI principles.</li> 
<li>Apply generative AI concepts to code generation tasks.</li> 
<li>Develop expertise in advanced models like GANs and autoencoders.</li> 
<li>Achieve proficiency in implementing these concepts and models practically.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by Edureka 
Duration: 8 hours (approximately) 
Schedule: Flexible

Gen AI Foundations 2025 | GroupifyAI

Gain comprehensive understanding of generative AI principles, apply them to code generation, develop expertise in GANs and autoencoders, and achieve practical proficiency.

Gen AI Foundations

<h2>Features of Course</h2> 

<li>Investigate the ethical challenges in the field of Fraud Detection.</li> 
<li>Explore email spam classification models.</li> 
<li>Collaborate with Generative AI in developing these models.</li> 
<li>Address the ethical implications of using AI in fraud detection and spam classification.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 21 
Offered by: On Coursera provided by Edureka 
Duration: 2 hours to complete 
Schedule: Flexible

Gen AI: Fraud Detection Analytics 2025 | GroupifyAI

Exploration of ethical dilemmas in Fraud Detection and email spam classification models, alongside Generative AI collaboration.

Gen AI: Fraud Detection Analytics

<h2>Features of Course</h2> 

<li>Examine the process of generating code fragments, scripts, and programs through the use of generative AI models.</li> 
<li>Utilize generative AI to implement methodologies for program optimization, code refactoring, problem detection, and application design and architecture.</li> 
<li>Develop innovative solutions by utilizing Gen AI-powered tools and models, including IBM Watsonx Code Assistant, GitHub CoPilot, Google Gemini, and ChatGPT.</li> 
<li>Describe the ethical considerations and challenges associated with the use of Generative AI for programming, as well as potential solutions for addressing them.</li> 

Level: Intermediate 
Certification Degree: Yes 
Languages the Course is Available: 21 
Offered by: On Coursera provided by IBM 
Duration: 17 hours (approximately) 
Schedule: Flexible

GenAI: Elevate Software Development Career 2025 | GroupifyAI

Explore the use of generative AI for creating and optimizing code, employing tools like IBM Watsonx Code Assistant and GitHub CoPilot, while addressing associated ethical considerations and challenges.

GenAI: Elevate Software Development Career

<h2>Features of Course</h2>

<li>The steps you can take to prepare for generative AI</li>
<li>How to establish a unified vision for generative AI within your organization</li>

Level: Beginner 
Certification Degree: No
Languages the Course is Available: 21
Offered by: On Coursera provided by Amazon Web Services
Duration: 1 hour to complete
Schedule: Flexible

Building a Gen AI-Ready Organization 2025 | GroupifyAI

The course "Building a Generative AI Ready Organization" offers the necessary components for the successful adoption of Generative AI within an organization. This course concentrates on business leaders and other decision-makers who are currently or potentially involved in Generative AI initiatives.

Building a Gen AI-Ready Organization

<h2>Features of Course</h2> 

<li>The fundamentals of Generative AI will be employed to allow you to practice the creation of logos for marketing content and services. </li> 
<li>You will acquire the knowledge necessary to evaluate and implement a chatbot for customer service and marketing purposes.</li> 
<li>You will acquire the knowledge necessary to execute an AI Marketing strategy and to navigate the diverse strategic internal and external factors.</li> 

Level: Beginner 
Certification Degree: Yes 
Languages the Course is Available: 1 
Offered by: On Coursera provided by University of Virginia Darden School Foundation 
Duration: 1 month at 3 hours a week 
Schedule: Flexible

Gen AI in Marketing Specialization 2025 | GroupifyAI

Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

Gen AI in Marketing Specialization

<h2>Features of the Course:</h2> <ul><li>The &quot;Generative AI Assistants&quot; specialization teaches the creation of customized AI companions for various sectors.</li>
<li>Custom AI will be trained to parse documents, engage in natural dialogue, and imitate specific communicative tones.</li>
<li>Practical case studies include creating educational allies, culinary companions, and corporate logistics coordinators.</li>
<li>The course ensures precision and reliability through rigorous testing of AI models.</li></ul> Level: BeginnerCertification Degree: YesLanguages the Course is Available: 21Offered by: On Coursera offered by Vanderbilt UniversityDuration: 1 month at 10 hours a weekSchedule: Flexible

Generative AI Assistants 2024|GroupifyAI

Generative AI for Your Benefit. Utilize Generative AI to develop and instruct personalized assistants.

Your AI Journey Starts Here: Explore Courses for All Levels

Curated AI Course Categories

AI & Machine Learning Courses

Generative AI Courses

Data Science Courses

Computer Science Courses

AI Courses for Beginners

AI & Machine Learning Courses

Generative AI Courses

Data Science Courses

Computer Science Courses

AI for Beginners

Website

Today's Featured Blogs