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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.

1.272€*
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Level:
beginner
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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.

537€*
Graph Icon - Education X Webflow Template
Level:
beginner
Clock Icon - Education X Webflow Template
Duration:
7
Hours (days:
1
)
Camera Icon - Education X Webflow Template
Training customized to your needs
Star Icon - Education X Webflow Template
Reduced training costs
*Price can range depending on number of participants, change of outline, location etc.