Certification

Certification

1. The AI Project Life Cycle: Navigating from Problem Scoping to Evaluation

   • 10 Business challoenges of bringing AI inbto the organization
     • 10 Aspects to consider in AI projects
       • External Enviromment
         • 1. Speed at the limit
         • 2. Extremne volatility
       • Technology
         • 3. Robust Data Governance
         • 4. Privacy
         • 5. Copyright
         • 6. Cybersecurity
         • 7. Model Explainabiity
       • People and Society
         • 8. Reskiling and Upskilling
           • Reskiling (Requalificação)
             • Ensinar novas habilidades relacionadas à IA para que um profissional possa mudar de função e atuar em áreas impulsionadas pela tecnologia.
           • Upskilling (Aprimoramento)
             • Atualizar ou aprofundar as competências atuais de um profissional, adicionando conhecimentos de IA que melhorem sua performance na função atual.
         • 9. Change Management
         • 10. Ethics

2. 1. Basic Concepts

   • Types of AI?
     • Artificial Narrow Intelligence (ANI)
       • Designed to perform especific tasks
     • Artificial General Intelligence (AGI)
       • Can behave in a human like way across all tasks
     • Artificial Super Intelligence (ASI)
       • smarter than humans - the stuff of sci-fi
   • What is AI?
     • AI is a discipline, a field of study. It is the theory and development of computer sustems able to perform tasks normally requiring human intelligence
     • AI # Machine Learning
     • Machine Learning is a subset of AI that provides computers with the ability to learn without explicit programming
   • Types of Machine Learning:
     • Surpervised Learning
       • I know both variables, input and output
       • Weak points:
         • It´s expensive
         • Time consuming
         • It´s really a hard work
     • Unsurpervised Learning
   • 6 Aspects of Project Management that will be disrupted
     • 1. Better selection and prioritization
       • * Faster identification of launch-ready projects that have the right fundamentals in place
       • * Selecion of projects that have higher chances of success and delivering the highest benefits
       • * A better balance in the Project portfolio and overview of risk in the organization
       • * Removal of human biases from decision making
     • 2. Support for the Project management office
       • * Better monitoring of Project progress
       • * Anticipate potential problems and to address some simple ones automatically
       • * Automated preparation and distribution of Project reports, and gathering of feedback
       • * Greater sophistication in selecting the best methodology for each Project
       • * Compliance for processes and policies
       • * Automation, via virtual assistentes of support functions
     • 4. Virtual Project assistants
       • * The digital assistant learns from past time entries, Project planning data and the overall contexto to tailor interactions and smartly capture critical Project information
       • * PMOtto is a ML enabled virtual Project assistant that is already in use
     • 5. Advanced testing systems ans software
       • * Advanced and automated system testing solutions for software projects will soon allow early detection of defects and self-correction processes
       • * This will significantly reduce time spent on cumbersome testing activities, reduce the number of reworks and ultimately deliver easy to use and bug-free solutions
     • 6. A new role for the project manager
       • * Project managers will not be going away, but they will need to embrace these changes and take advantage of the new Technologies
       • * They will need to cultivate Strong soft skills, leadership capabilities, strategic thinking and business acumen
       • * They must focus on the delivery of the expected benefits and their alignment with strategic goals
       • * They will also need a good understanding of these Technologies
     • 3. Improved, faster Project definition, planning and reporting
       • * Improved Project scoping by automating the collection and analysis of user stories
       • * Tools to facilitate scheduling processes and draft detailed plans and resource demands
       • * Automated reporting that is not only produced with less labour but will replace today`s report - which are often weeks old - with real-time data
     • Is your organization ready to embrace AI in projects?
       • - Are you ready to spend time making an accurate inventory of all your projects, including the latest status update?
       • - Can you invest several resources for some months to gather clean and structure your Project data?
       • - Have you made up your mind to let go of your old Project management habits, such as your monthly progress reports?
       • - Are you prepared to invest in training your Project management Community in this new technology?
       • - Are they willing to move out of their traditional comfort zones and redically change how they manage their projects?
       • - Is your organization ready to accept and adopt a new technology and hand over the reins on decisions with increasingly higher stakes?
       • - Are you ready to let this technology make mistakes as it leams to perform better for your organization?
       • - Does your executive sponsor for this Project have the capability and credibility in your organization to lead this transformation?
       • - Are sênior leaders willing to wait several months, up to one year, to start seeing the benefits of the automation?

3. 2. The AI Project Life Cycle

4. 3. AI Tools and Techniques

   • ChatGPT
     • tip to use on chatGPT when you make a prompt:
       • C: You need to have a Context
       • S: you need be Specific
       • I: You need show your intent. What you want that the GPT do
       • F: What the Format you want to GPT make the answer

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