Visão Geral

Curso  IA Inteligência Artificial e Código Aberto Foundation

Objetivo

Após realizar este Curso  IA Inteligência Artificial e Código Aberto Foundation você será capaz de:

• Defina o que é Inteligência Artificial (IA)
• Avalie e selecione os tipos de soluções e ferramentas adequadas para implementar um projeto de IA
• Distinguir entre os tipos de lucros por profissão, atividade e setor da empresa.

Publico Alvo

• Diretores,
• Gerentes,
• Gerentes de projeto,
• Vendedores,
• Analistas de dados
• Qualquer pessoa interessada em IA.
  

Materiais

Conteúdo Programatico

General overview of Artificial Intelligence (AI)

1. AI:
   
2. Overview
3. Yesterday and today
4. Fantasy and reality
5. The stakes
6. The consequences
7. The market
8. The players
9. The data
10. The domains
11. Workflow of a project :
12. Machine Learning
13. Data Science
14. How to choose an AI project?
15. Roadmap of an AI project
16. Cycle of an AI project
17. The actors of an AI project
18. Technical tools for AI teams

Application development tools

1. Types of tools
   
2. Focus on bots
3. Leading and emerging solutions
4. Development platforms (Google API.ai, Facebook ait.ia)
5. Cloud solution for AI

Machine Learning

1. Machine Learning, a little history
   
2. Types of Machine Learning :
3. Supervised Machine Learning
4. Unsupervised Machine Learning
5. Automatic learning by reinforcement
6. Machine Learning algorithms and their uses
   

Open Source tools used in AI/ML

1. TensorFlow
   
2. Keras
3. Scikit-Learn
4. Theano
5. Caffe
6. Torch
   

Business use case

1. Sentiment analysis via NLP (Natural Language Processing)
   
2. Image analysis using Deep Learning
3. Prediction and classification via Machine Learning

Methods of evaluation of acquired knowledge

1. During the training, by case studies or practical works
   
2. And, at the end of the training, by a self-evaluation questionnaire or a certification (M2i or editor)