Dive into the world of artificial intelligence and acquire the knowledge and skills that will transform your approach and prepare you for the digital future.

1. Introduction to Artificial Intelligence - Discover the fundamentals of AI that will introduce you to a world where technology and human creativity together push the boundaries of what’s possible.
2. Conversational AI - Learn how to utilize conversational artificial intelligence to enhance customer interactions and optimize real-time processes.
3. AI in Business - Master the skills needed to effectively implement AI in business, giving you a competitive edge.
4. AI Challenges and Opportunities for Leaders - Understand how to tackle challenges and seize the opportunities that AI brings to leadership in a rapidly changing world.
5. Foundations of Intelligent Automation - Discover how AI-powered automation can transform your business, driving efficiency and innovation.
6. Leading with a Digital Mindset in the Age of AI - Develop a digital mindset and adapt to leading teams and projects in an era where AI is redefining the rules.
7. Disruptive Technologies Case Studies for Leaders - Analyze specific case studies that illustrate how disruptive technologies are reshaping traditional business models, and learn how to leverage these changes for your growth.

Dive into the machine learning and learn how to transform data into intelligent solutions that will elevate your business.

1. Artificial Intelligence Foundations: Machine Learning - Gain a solid foundation in machine learning and understand how these technologies enable systems to learn and improve independently without explicit programming.
2. Artificial Intelligence: Thinking Machines - Explore how machines "think" and learn from data, uncovering the principles behind the intelligent behavior of modern AI systems.
3. Machine Learning Foundations: Probability - Learn to use probabilistic methods for modeling and prediction in the context of machine learning, acquiring the skills needed to analyze and interpret complex data.
4. Machine Learning and AI Foundations: Recommendations - Master the techniques of recommendation systems that personalize user experiences and help create targeted content, crucial for modern business strategies.
5. Executive Guide to Human-in-the-Loop Machine Learning and Data Annotation - Understand how to integrate the human factor into machine learning to enhance accuracy and relevance, and learn effective data annotation techniques.
6. Mistakes to Avoid in Machine Learning - Familiarize yourself with common pitfalls in machine learning projects and get tips on how to avoid them to maximize the success of your initiatives.
7. Top Skills for Machine Learning Professionals - Develop the essential skills needed for success in machine learning, including technical expertise, analytical thinking, and hands-on experience.

Dive into data science and learn how to transform data into valuable business insights that will elevate your company to the next level.

1. Data Science Foundations - Build a strong foundation in data science and learn how to effectively collect, analyze, and interpret data to support decision-making processes.
2. Data Science Methodologies - Discover how to apply data science in real business scenarios, using analytical techniques to identify opportunities for innovation and growth.
3. Mistakes to Avoid in Data Science - Learn about common pitfalls in data science and how to avoid them to maximize the efficiency and accuracy of your data analyses.

Discover the fascinating world of neural networks and deep learning, and learn how these advanced technologies can transform your business and drive innovation.

1. Artificial Intelligence Foundations: Neural Networks - Gain a deep understanding of how neural networks work and how they serve as the foundation for modern AI applications.
2. Recurrent Neural Networks - Explore how recurrent neural networks model sequential data, which is crucial for applications like speech recognition and time series analysis.
3. Deep Learning: Getting Started - Learn the basics of deep learning and discover how to develop and train models that can independently process and analyze complex data.
4. Deep Learning: Image Recognition - Master techniques for image recognition and classification using deep learning, enhancing automation and accuracy in visual tasks.
5. Deep Learning: Face Recognition - Acquire practical skills in face recognition and learn how to create applications for security, marketing, and personalization.
6. Deep Learning: Model Optimization and Tuning - Learn how to optimize and tune deep learning models for maximum performance and efficiency, and gain the skills to tackle real-world challenges.

Unlock the world of natural language processing (NLP) and discover how to use this advanced technology to build intelligent applications and enhance user interaction.

1. Applied AI: Building NLP Applications with Hugging Face Transformers - Learn how to create advanced NLP applications using the Hugging Face Transformers library and discover how these models are revolutionizing text analysis.
2. Natural Language Processing with PyTorch - Master techniques for working with the PyTorch library to develop NLP models that efficiently and accurately process and analyze textual data.
3. TensorFlow: Working with NLP - Explore how to leverage TensorFlow to implement NLP models, and learn how to tailor these models to meet the specific needs of your project.
4. Advanced NLP with Python for Machine Learning - Gain a deeper understanding of advanced NLP techniques and learn how to integrate them into machine learning for better comprehension and processing of natural language.
5. Building NLP Pipelines with spaCy - Learn how to use the spaCy library to create efficient NLP pipelines that streamline text processing and automate tasks.
6. AI in Connected Products (AIOT) and NLP with Python for Machine Learning - Discover how to integrate NLP into connected products and use Python to develop intelligent solutions in the fields of AI and IoT.

Explore the world of the internet of things (IoT) and learn how this technology connects devices, transforms businesses, and increases efficiency across various industries.

1. IoT Foundations: Introduction - Build a solid foundation in IoT and understand how connected devices form the basis of intelligent systems.
2. IoT Foundations: Standards and Ecosystems - Explore the standards and ecosystems that ensure interoperability and collaboration between different IoT devices and platforms.
3. IoT Foundations: Device Management - Learn how to effectively manage and monitor IoT devices and systems, enabling your business to fully leverage the potential of these technologies.
4. Cybersecurity Awareness: IoT Devices - Understand the importance of cybersecurity for IoT devices and gain awareness of the risks and measures necessary to protect your systems.
5. Securing IoT: Security Risks - Learn how to identify and mitigate security risks associated with IoT to safeguard data and ensure the integrity of your systems.
6. No-Code AI: Harness the Power of AI Without Programming - Discover how to implement artificial intelligence into your IoT projects without the need for coding, taking your applications to the next level.
7. Digital Technologies Case Studies: AI, IoT, Robotics, Blockchain - Analyze specific case studies that demonstrate how digital technologies, including AI, IoT, robotics, and blockchain, are reshaping industries and unlocking new opportunities.

Explore the critical aspects of privacy, ethics, and responsibility in artificial intelligence, and learn how to apply these principles in practice to create trustworthy technologies.

1. Ethics in the Age of Generative AI - Discover the ethical challenges and questions associated with generative AI, which is transforming how we create and consume content, and learn how to address these issues responsibly.
2. Cybersecurity: Protect Your Privacy - Learn how to safeguard your personal data and sensitive information in the digital world, and gain practical tips for securing your online privacy.
3. Technoethics: A 21st Century Leadership Competency - Develop technoethical competencies essential for modern leaders, and learn how to navigate ethical dilemmas in a rapidly evolving technological landscape.
4. Foundations of Responsible AI - Gain a solid foundation in responsible AI and understand the principles that ensure technology is developed and used with ethical standards in mind.
5. Responsible AI: Principles and Practical Applications - Learn how to apply the principles of responsible AI in real-world situations and create technologies that respect human rights and support social responsibility.
6. Tech On the Go: Ethics in AI - Explore the ethical aspects of AI in various contexts and learn how to integrate ethical considerations into the development and implementation of AI technologies.
7. Creating a Culture of Privacy - Learn how to establish and maintain a culture that prioritizes privacy and data protection, fostering trust between users and technology.

Step into the world of automation and robotics, where modern technologies are transforming industry and business. Learn how to harness these innovations to boost efficiency and productivity.

1. Foundations of the Fourth Industrial Revolution (Industry 4.0) - Discover the key concepts of Industry 4.0 and learn how the integration of digital technologies, automation, and robotics is revolutionizing industrial processes.
2. Introduction to Robotic Process Automation (RPA) - Learn how to implement RPA to streamline routine tasks and increase productivity across various business sectors.
3. Process Discovery for Robotic Process Automation - Master the methods for identifying and analyzing processes suitable for automation with RPA, enabling your business to achieve maximum efficiency.
4. RPA: Automation Anywhere - Gain hands-on experience with the Automation Anywhere platform and learn how to create and manage automation solutions that transform your business operations.
5. Process Mining for Robotic Process Automation - Explore how to use process mining to uncover hidden patterns and opportunities for automation, optimizing your processes based on real data.
6. RPA in Action: Use Cases for Inspiration - Analyze inspiring case studies showcasing successful RPA implementations across various industries, and learn how to apply these practices in your organization.
7. Test Automation Foundations - Learn how to automate software and system testing to enhance the reliability and efficiency of development processes.
8. Industrial Automation: RPA, AI, and Cognitive Technologies for Leaders - Get an overview of the latest trends in industrial automation and discover how RPA, AI, and cognitive technologies can support strategic leadership.
9. Top Skills for Robotics Engineers - Develop the essential skills needed for success in robotics, including technical expertise, analytical thinking, and an innovative approach to problem-solving.

Explore how artificial intelligence is transforming the business world and learn how to apply these technologies to gain a competitive edge and drive innovation in your industry.

1. Generative AI: Approaches to Business Challenges - Discover how generative AI can tackle complex business problems and provide innovative solutions across various industries.
2. Elevate Your Brand with Generative AI - Learn how generative AI can enhance your business brand and create new marketing opportunities.
3. Tips for Using ChatGPT in Business - Gain practical tips on effectively leveraging ChatGPT to improve communication and productivity in your business.
4. Leveraging Generative AI for Project Management - Explore how generative AI can optimize project management and streamline complex processes.
5. Generative AI for Digital Marketers - Learn how generative AI can transform digital marketing strategies, increasing campaign reach and efficiency.
6. How to Generate Marketing Leads with AI - Discover how artificial intelligence can generate new business opportunities and boost conversions.
7. Generative AI for Product Managers - Explore how AI can assist product managers in innovating and creating more valuable products.
8. Using AI in Customer Service - Enhance customer experience with AI that streamlines interactions and improves customer satisfaction.
9. Leveraging Generative AI in Finance and Accounting - Discover how AI can automate and improve financial processes, aiding in better decision-making.
10. The Future of Audit - Learn how AI is transforming traditional audit methods, bringing a new level of accuracy and efficiency.
11. Generative AI in HR - Understand how AI can enhance HR processes, from recruitment to talent development.
12. Generative AI in Recruiting and Talent Acquisition - Explore how AI facilitates recruitment and helps identify and retain top talent.
13. Generative AI in Learning and Development - Discover how AI can personalize and streamline corporate learning and development programs.
14. Generative AI: The Evolution of Thoughtful Online Search - Learn how AI is changing the way we search for and interpret information online.
15. Generative AI for Business Leaders - Acquire the skills and knowledge to become a leader in an AI-driven world.
16. Becoming an AI Leader - Learn how to integrate AI into your product strategy and become a leader in innovation.

Discover how AI trends and strategies can transform your business and enhance productivity.

1. AI Trends - Stay informed on the latest AI trends that are shaping the future of business and driving technological advancements.
2. AI 2041: Five Visions for Our Future - Explore predictions and scenarios on how AI will shape our future, and prepare for a world where AI plays a pivotal role in both daily life and business.
3. Trend Tools - Get acquainted with the latest tools and technologies that help businesses stay ahead and leverage AI for strategic growth.
4. AI and Business Strategy - Learn how to integrate AI into your business strategy and how AI can drive innovation and efficiency within your organization.
5. AI and Business Strategy: Case Studies - Analyze real-life case studies demonstrating how successful companies use AI to enhance their business strategies.
6. AI Case Studies Across Industries - Explore how various industries are implementing AI to improve processes and gain a competitive edge.
7. Boost Your Productivity with AI Tools - Discover how AI can simplify and streamline your workflows, enhancing your personal productivity.
8. AI Productivity Hacks: Transform Your Workday and Career - Learn practical tips and tricks to leverage AI for maximum efficiency and success in a rapidly evolving work environment.
9. Skills for the Future - Develop essential skills for leading teams and projects in the digital age, and learn how to be a leader in an AI-driven world.
10. The Future of Work: Essential Skills for Your Future Workforce - Understand the key skills that will be critical for the future workforce and prepare for the revolution in work processes powered by AI.

Each module ends with a test and an essay on how you will use the knowledge and skills you have acquired in practice.

The study concludes with a final comprehensive test on the entire content of the study and a capstone project.

Though online learning has no limitations, contactless learning is not something you have to worry about. LIGS University hosts 2 webinars a week and several conferences a year. Attend 2 webinars a week led by our experienced tutors and meet other students, or choose from our extensive library of past webinars. You have unlimited access to the webinar database and can replay archived webinars.

Thanks to studying at LIGS University, you will have access to over 20,000 online courses to further develop and deepen your knowledge and skills.

Beyond your studies, you can also use the online eBook and audioBook library with more than three thousand titles in English.

You can also access many up-to-date articles and case studies from a variety of disciplines to enhance your knowledge and skills.

LIGS University organizes and co-organizes online scientific and online management conferences in which you can participate as a participant, a speaker or you can publish your paper (after approval by the scientific board) in the conference proceedings.