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Aluizio Faria

Nossas boas-vindas ao Curso Inteligência Artificial para Logística.

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Nossas boas-vindas ao Curso Inteligência Artificial para Logística.

Neste curso, você aprenderá sobre os processos de planejamento logístico, seu escopo de atuação e sua integração com as demais áreas da empresa, e como as novas tecnologias de inteligência artificial e internet das coisas podem ampliar a eficiência e a geração de valor para a empresa.

Ao final deste curso, você será capaz de compreender os conceitos envolvidos em toda a cadeia de gestão logística e como a aplicação de tecnologias desenvolvidas com inteligência artificial tem otimizado o resultados das empresas.

Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos.

Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados.

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What's inside

Syllabus

Gestão Logística
Neste módulo, serão abordados os conceitos de gestão logística e suas principais funcionalidades. Além disso, exploraremos o escopo de atuação logística por horizontes temporais de decisão, incluindo a importância e impactos dessa gestão para empresa e para os clientes.
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Planejamento Logístico
Neste módulo, serão apresentados a introdução ao planejamento logístico, incluindo longo, médio e curto prazo, permitindo uma visão das diversas camadas do planejamento logístico, sua integração com os processos da empresa e o impacto no nível de serviço prestado aos clientes.
Sistemas Logísticos
Neste módulo, será abordada a importância dos sistemas logísticos e como geram valor para as empresas. Além disso, serão apresentados os principais sistemas logísticos utilizados pelas empresas. Entre eles estão: torre de controle, otimização de transporte com roteirização, gestão da logística de “last-mile”, automação de depósito e sistema de controle de movimentação interna.
Inteligência Artificial e Internet das Coisas
Neste módulo, será abordada a introdução ao conceito de IoT - Internet das Coisas - e seu impacto em logística, e como a aplicação de inteligência artificial tem revolucionado o mercado de trabalho e os processos produtivos. Além disso, serão apresentadas as principais tecnologias utilizadas em diversos setores, dentre eles planejamento, inspeção, manutenção preditiva, armazenamento, entregas e análises.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Desenvolve conceitos-chave da gestão logística, preparando os alunos para otimizar as operações da cadeia de suprimentos
Explica o planejamento logístico em detalhes, permitindo que os alunos implementem estratégias eficazes para gerenciar o fluxo de mercadorias
Fornece uma compreensão abrangente dos sistemas logísticos, ajudando os alunos a identificar e utilizar tecnologias para melhorar a eficiência
Explora como a Inteligência Artificial e a Internet das Coisas estão transformando a indústria da logística, preparando os alunos para as carreiras do futuro
Oferece uma visão abrangente da logística, tornando-o adequado para profissionais de várias funções, incluindo gerenciamento de operações, cadeia de suprimentos e tecnologia
O instrutor, Aluizio Faria, é um profissional experiente em logística e cadeia de suprimentos, oferecendo insights práticos e experiência no setor

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Inteligência Artificial para Logística with these activities:
Revise Supply Chain Management Concepts
Brush up on your understanding of supply chain management principles to lay a strong foundation for this course.
Browse courses on Supply Chain Management
Show steps
  • Review lecture notes and textbooks from previous courses or online resources on supply chain management.
  • Create a mind map or summary diagram to organize key concepts.
  • Discuss supply chain management concepts with classmates or colleagues to reinforce your understanding.
Revise basic concepts of logistics
Brush up on fundamental principles to ensure your understanding of more advanced concepts covered in this course.
Browse courses on
Show steps
  • Review definitions and key terms of logistics
  • Summarize the different types and functions of logistics
  • Describe the scope and impact of logistics on businesses
Solve case studies on logistics optimization
Apply concepts and techniques to practical scenarios, solidifying problem-solving abilities.
Show steps
  • Review hypothetical or real-world logistics scenarios
  • Analyze data, identify inefficiencies, and propose solutions
  • Evaluate alternative strategies and make recommendations
Show all three activities

Career center

Learners who complete Inteligência Artificial para Logística will develop knowledge and skills that may be useful to these careers:
Supply Chain Manager
A Supply Chain Manager oversees the entire supply chain of a company. This includes planning, organizing, and coordinating the flow of goods, services, and information between suppliers, manufacturers, and customers. The course on Artificial Intelligence for Logistics will help Supply Chain Managers understand how to use technology to improve the efficiency of their supply chains.
Logistician
A Logistician designs, implements, and manages the flow of goods from suppliers to customers. This course provides an understanding of the processes involved in planning logistics, including how to integrate artificial intelligence and the internet of things to improve efficiency. The course also covers topics such as systems logistics, optimization, and data analytics. These skills will be valuable for Logisticians looking to use technology to improve their operations.
Sales Manager
A Sales Manager is responsible for leading and managing a sales team. The course on Artificial Intelligence for Logistics may be useful for Sales Managers who are looking to sell logistics-related products or services.
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. The course on Artificial Intelligence for Logistics may be useful for Business Analysts who are looking to specialize in the logistics industry.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. The course on Artificial Intelligence for Logistics may be useful for Software Engineers who are looking to specialize in the logistics industry.
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. The course on Artificial Intelligence for Logistics may be useful for Data Analysts who are looking to specialize in the logistics industry.
Product Manager
A Product Manager is responsible for managing the development and launch of new products. The course on Artificial Intelligence for Logistics may be useful for Product Managers who are looking to develop logistics-related products.
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. The course on Artificial Intelligence for Logistics may be useful for Marketing Managers who are looking to market logistics-related products or services.
Inventory Manager
An Inventory Manager is responsible for managing the inventory of a company. This includes tracking inventory levels, forecasting demand, and placing orders. The course on Artificial Intelligence for Logistics may be useful for Inventory Managers who are looking to use technology to improve the efficiency of their operations.
Operations Manager
An Operations Manager is responsible for the day-to-day operations of a business. This includes managing production, inventory, and logistics. The course on Artificial Intelligence for Logistics may be useful for Operations Managers who are looking to use technology to improve the efficiency of their operations.
Consultant
A Consultant provides advice and expertise to organizations on a variety of topics. The course on Artificial Intelligence for Logistics may be useful for Consultants who are looking to specialize in the logistics industry.
Entrepreneur
An Entrepreneur starts and runs their own business. The course on Artificial Intelligence for Logistics may be useful for Entrepreneurs who are looking to build a business in the logistics industry.
Customer Service Manager
A Customer Service Manager is responsible for managing a customer service department. The course on Artificial Intelligence for Logistics may be useful for Customer Service Managers who are looking to improve the customer service experience for logistics-related products or services.
Transportation Manager
A Transportation Manager is responsible for managing the transportation of goods for a company. This includes planning and coordinating shipments, as well as negotiating rates with carriers. The course on Artificial Intelligence for Logistics may be useful for Transportation Managers who are looking to use technology to improve the efficiency of their operations.
Project Manager
A Project Manager is responsible for planning, organizing, and executing projects. The course on Artificial Intelligence for Logistics may be useful for Project Managers who are looking to specialize in the logistics industry.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Inteligência Artificial para Logística.
Covers the strategic and operational aspects of supply chain management, with a focus on optimization, risk management, and sustainability.
Offers an in-depth analysis of supply chain logistics management. It enhances the understanding of logistics systems and their impact on overall business performance.
This handbook provides a comprehensive collection of logistics concepts, methodologies, and case studies. It serves as a useful reference tool for the entire course.
Offers a broad perspective on logistic and supply chain management, including strategic planning and performance measurement. It serves as a valuable reference for the course modules on Logistics Management and Logistics Planning.
Offers a comprehensive view of operations and supply chain management, integrating concepts from strategy, planning, and execution.
Delves into optimization techniques and their applications in logistics, providing a deeper understanding of mathematical and algorithmic approaches. It serves as an optional reference for individuals interested in the technical aspects of optimization.
Provides a solid foundation in data mining techniques, which are used to extract valuable insights from large datasets in logistics and supply chain management.

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