________________________________________________________________
 Do you want to take this course remotely or in person?
 Contact us by email: info@nanforiberica.com , phone: +34 91 031 66 78, WhatsApp: +34 685 60 05 91 , or contact Our Offices
 ________________________________________________________________
           
      
    
      
      
      
          
          
          
          
  
     About the course
 This course is taught online and consists of 4 units, practices and access to AI-102 laboratories.
 The approximate duration of the course is 90 hours distributed between the course content and the collaboration tools and upon completion, the student will receive an accrediting diploma . 
The training is carried out through our Virtual Campus , with this modality you will have all the didactic content on the course platform and it will be accessible, from the start day of the course, 24 hours a day, every day of the week.
 The student will also have participation forums , as well as continuous tutoring.
 Course content
-  Unit 1: Artificial Intelligence
 
-  What is artificial intelligence?
 
-  AI tasks
 
-  Chronological development of AI
 
-  Challenges and risks with AI
 
-  AI subdomain
 
-  Unit 2: Machine Learning
 
-  What is machine learning?
 
-  Type of data used in machine learning
 
-  Machine learning: implementations
 
-  Pillars of the Microsoft AI platform
 
-  Module 3: Microsoft Cognitive Service
 
-  What are cognitive services?
-  How can you help us with our applications?
 
-  Cognitive services applications for the real world
 
 - Microsoft Cognitive Services Suite
 
 
-  Natural Language Forms (NLP)
-  What is natural language processing?
 
 
-  NLP: an interdisciplinary field
-  Natural language processing
 
-  Natural language understanding
 
-  Natural language generation
 
 
-  Why is NLU a difficult task?
-  NLU Implementations
 
-  NLU Applications
 
 
-  Natural language understanding
-  Computational linguistics
 
-  Different levels of language analysis
 
-  Language services
 
-  Answer to questions
 
-  Text analysis
 
-  Luis
 
 
-  Unit 4: Demos
 
-  Luis
 
-  Machine Translation
 
-  Speech
 
-  Vision Services
 
-  Knowledge Language
 
-  Search Services
 
-  chatbot
 
-  Practices
 
-  Luis
 
-  Speech
 
-  Spell Checking
 
-  Text Analytics
 
-  Access to AI-102 laboratories
 
 Previous requirements
 No prior technical requirements are necessary to take this course. However, basic computer skills and knowledge of environments related to Information Technology are recommended.
 * This is Nanfor's own course, it is not an official Microsoft course and does not prepare for any certification exam
 Contains videos