Tenders Are Invited For Conducting The Course Basics Of Artificial Intelligence Of The Microsoft Azure Platf ... in Poland

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The Subject Of The Order Is To Conduct The Course Fundamentals Of Artificial Intelligence Of The Microsoft Azure Platform: Introduction To Artificial Intelligence Along With The Ai-900 Exam For Teachers Outside The Ordering Partys Premises. Number Of Training Participants: 2 Teachers (1 Training Group). Training Duration: 8 Teaching Hours (1 Teaching Hour = 45 Minutes) Plus Time For One Coffee Break Each Day Of The Training. The Final Training Dates (Final Training Schedule) Will Be Determined After Signing The Contract. Place Of Training: Stationary, Outside The Ordering Partys Headquarters. The Scope Of The Order Includes: 1. Conducting An 8-Hour Course For 2 Teachers (1 Training Group);2. Remuneration Of Trainers Conducting The Training;3. Transport Costs Of Trainers To The Training Site;4. Cost Of Certificates Confirming Participants Participation In The Training.5. Developing And Distributing Training Materials To Participants In An Amount Corresponding To The Number Of Participants;6. Voucher For The Ai-900 Exam: Basics Of Artificial Intelligence Of The Microsoft Azure Platform. The Substantive Scope Of The Training Should Include The Following Issues: 1. Introduction To The Subject Of Artificial Intelligence 1.1. Artificial Intelligence On The Azure Platform• Definition Of Artificial Intelligence, Examples Of Real Ai Applications (Such As Classification, Forecasting, Text Analysis Or Image Analysis)• Types Of Ai Workloads, Including: Computer Vision Processing, Machine Learning, Natural Language Processing (Nlp) And Conversational Services• Overview Of Azure Cognitive Services As Ready-Made Ai Components Available In The Azure Cloud1.2. Responsible Use Of Artificial Intelligence• Principles Of Responsible Development And Implementation Of Ai (Responsible Ai)• Ethical Aspects Of Artificial Intelligence: Transparency, Confidentiality, Non-Discrimination• The Role Of The Microsoft Responsible Ai Framework In Designing Solutions Consistent With Ethical Standards• Examples Of Scenarios In Which Compliance With The Principles Of Responsible Ai Is Crucial (E.G. Personal Data Analysis, Facial Recognition, Language Analysis)2. Machine Learning2.1. Introduction To The Subject Of Machine Learning• Basic Definitions And Concepts Of Ml (Supervised, Unsupervised Learning, Classification, Regression, Clustering)• Stages Of The Ml Model Life Cycle: Data Preparation, Training, Validation, Implementation And Monitoring Of Models• Differences Between Classic Ml And Modern Approaches Based On Deep Neural Networks2.2. Azure Machine Learning Solution• The Purpose Of Azure Machine Learning As A Platform For Training, Testing And Deploying Ml Models• Using Azure Machine Learning Studio: Graphical Interface, Data Entry, Automatic Machine Learning (Automl),• The Ability To Publish Ml Models As Services, Monitor Their Performance And Elements Of Mlops At The Basic Level3. Przetwarzanie Obrazów (Computer Vision)3.1. Image Processing Concepts• Discussion Of The Basics

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