日本のIntelligent Applicationsトレーニング

Intelligent Applications are advanced software systems that incorporate AI and ML technologies to perform tasks traditionally requiring human intelligence, such as decision-making and pattern recognition.This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level AI professionals and
software developers who wish to build intelligent applications using AI and ML.By the end of this training, participants will be able to:

• Understand the advanced concepts and technologies behind AI and ML.
• Analyze and visualize data to inform AI/ML model development.
• Build, train, and deploy AI/ML models effectively.
• Create intelligent applications that can solve real-world problems.
• Evaluate the ethical implications of AI applications in various industries.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Intelligent Applications are advanced software systems that leverage artificial intelligence, machine learning, and data analytics to perform complex tasks, make predictions, and automate decision-making processes.This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.By the end of this training, participants will be able to:

• Implement and analyze deep learning architectures.
• Apply machine learning at scale in a distributed computing environment.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language understanding.
• Utilize computer vision techniques for image and video analysis.
• Address ethical considerations in the development and deployment of AI systems.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Intelligent Applications are software systems that utilize machine learning, data analytics, and other advanced technologies to simulate human-like intelligence, enabling them to perform tasks that typically require human intelligence.This instructor-led, live training (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.By the end of this training, participants will be able to:

• Understand the history, principles, and impact of artificial intelligence.
• Identify and apply different machine learning algorithms.
• Manage and analyze data effectively for AI applications.
• Recognize the practical applications and limitations of AI in different sectors.
• Discuss the ethical considerations and societal implications of AI technology.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Intelligent applications (aka intelligent apps and I-apps) are next generation apps that can continually learn from user interactions to provide better value and relevance to users.In this instructor-led, live training, participants will learn how to build intelligent mobile applications and bots.By the end of this training, participants will be able to:

• Understand the fundamental concepts of intelligent applications
• Learn how to use various tools for building intelligent applications
• Build intelligent applications using Azure, Cognitive Services API, Stream Analytics, and Xamarin

Audience

• Developers
• Programmers
• Hobbyists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice