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Artificial Intelligence Overview

Artificial Intelligence Overview

Delve into the world of Artificial Intelligence (AI) with our comprehensive overview.

Crafted for managers, CTOs, and innovators, this course offers an in-depth look into AI's history, its methodologies, real-world applications, and future prospects. Enrich your understanding of AI's transformative potential, its reasoning mechanisms, and its interactive capabilities.

What will you learn?

Dive deeper into the rapidly-evolving realm of Artificial Intelligence. Through this intensive workshop, participants will:

  • Revisit AI's Roots: Understand the historical context and evolution of Artificial Intelligence.
  • Decipher Intelligent Agents: Gain insights into problem-solving agents and adversarial search strategies.
  • Uncover Knowledge & Reasoning: Explore the realm of logical agents, first-order logic, and planning in dynamic environments.
  • Tackle Uncertainty: Learn about probabilistic reasoning, quantifying uncertainty, and making both simple and complex decisions in ambiguous scenarios.
  • Embark on Learning Journeys: Discover the different methodologies, from learning from examples to reinforcement learning.
  • Engage with Communication & Perception: Dive into Natural Language Processing, perception technologies, and the fascinating world of robotics.
  • Reflect on AI's Journey: Contemplate the philosophical foundations and envisage AI's present and looming future.

Requirements:

  • Broad knowledge of computing, biology, mathematics, and physics.
  • An interest in technology trends and innovation.

Course Outline*:

*We know each team has their own needs and specifications. That is why we can modify the training outline per need.

1. Artificial Intelligence History: Tracing AI's evolution.
2. Intelligent Agents: The building blocks of AI systems.
3. Problem Solving Techniques:
  • Searching strategies
  • Beyond classical and adversarial search
  • Addressing constraint satisfaction problems
4. Knowledge and Reasoning:
  • Introduction to logical agents
  • Delving into first-order logic & inference
  • Classical planning and real-world applications
5. Handling Uncertainty:
  • Quantifying and reasoning with uncertainty
  • Time-bound probabilistic reasoning
  • Decision-making in uncertain scenarios
6. Learning Paradigms:
  • Learning from examples & incorporating knowledge
  • Probabilistic model learning
  • The dynamics of reinforcement learning
7. Communicating, Perceiving, and Acting:
  • Introduction to Natural Language Processing
  • Communication with natural language
  • Perception technologies and robotics
8. Concluding Remarks:
  • Philosophical underpinnings of AI
  • Contemplating AI’s current state and future trajectory

Hands-on learning with expert instructors at your location for organizations.

0
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Level: 
Foundation
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Duration: 
7
Hours (days:
1
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Training customized to your needs
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Immersive hands-on experience in a dedicated setting
*Price can range depending on number of participants, change of outline, location etc.

Master new skills guided by experienced instructors from anywhere.

0
Graph Icon - Education X Webflow Template
Level: 
Foundation
Clock Icon - Education X Webflow Template
Duration: 
7
Hours (days:
1
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Training customized to your needs
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Reduced training costs
*Price can range depending on number of participants, change of outline, location etc.

You can participate in a Public Course with people from other organisations.

0

/per trainee

Number of Participants

1 Participant

Thanks for the numbers, they could be going to your emails. But they're going to mine... Thanks ;D
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Graph Icon - Education X Webflow Template
Level: 
Foundation
Clock Icon - Education X Webflow Template
Duration: 
7
Hours (days:
1
Camera Icon - Education X Webflow Template
Fits ideally for individuals and small groups
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Networking opportunities with fellow participants.
*Price can range depending on number of participants, change of outline, location etc.