Białystok

NobleProg Classroom, Białystok, poland, 15-440

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Building Intelligent Applications with AI and ML

 28 Hours
This instructor-led, live training in podlaskie (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.
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Intelligent Applications Advanced

 21 Hours
This instructor-led, live training in podlaskie (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.
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Intelligent Applications Fundamentals

 14 Hours
This instructor-led, live training in podlaskie (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.
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