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Starts 30 June 2025 10:31

Ends 30 June 2025

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Become an Agentblazer Champion

Become an Agentblazer Champion Dive into the fascinating world of Artificial Intelligence with the 'Become an Agentblazer Champion' course offered by Trailhead. This comprehensive program is designed to guide you through core AI concepts and provide hands-on experience in building a basic agent to handle key tasks effectively. Whether you're loo.
Salesforce via Trailhead

Salesforce

40 Courses


6 hours 33 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Free Online Course

Optional upgrade avallable

Overview

Become an Agentblazer Champion

Dive into the fascinating world of Artificial Intelligence with the 'Become an Agentblazer Champion' course offered by Trailhead. This comprehensive program is designed to guide you through core AI concepts and provide hands-on experience in building a basic agent to handle key tasks effectively.

Whether you're looking to enhance your AI knowledge or aiming to integrate AI solutions into business processes, this course is ideal for you.

It covers a blend of theoretical knowledge and practical skills, making it a perfect choice for learners interested in both Artificial Intelligence and Business Courses.

Get ready to elevate your expertise and pave the way to becoming a champion in the ever-evolving AI landscape with Trailhead's guidance.

Enroll now to start your journey towards mastering AI technologies.

Syllabus

  • Introduction to Artificial Intelligence
  • Definition and History of AI
    Key AI Techniques and Applications
  • Core AI Concepts
  • Machine Learning Basics
    Supervised, Unsupervised, and Reinforcement Learning
    Neural Networks and Deep Learning Introduction
  • Intelligent Agents
  • Definition and Purpose of Agents in AI
    Types of Agents: Reactive, Deliberative, Hybrid
    Environments and Agent Perceptions
  • Planning and Decision Making
  • Problem-Solving Techniques
    Search Algorithms (BFS, DFS, A*)
    Introduction to Game Theory and Strategic Planning
  • Building an AI Agent
  • Setting Objectives and Defining Tasks
    Agent Architectures and Frameworks
    Development tools and programming basics
  • Specific Agent Tasks
  • Navigation and Pathfinding
    Resource Management
    Interaction with Environment and Feedback Loops
  • Testing and Evaluation
  • Metrics for Assessing Agent Performance
    Iterative Improvement Processes
  • Advanced Topics and Future Directions
  • Ethical Considerations in AI
    Future of AI Agents and Emerging Technologies
  • Hands-On Project: Building Your Basic Agent
  • Project Requirements and Constraints
    Implementation and Testing Process
    Final Presentation and Feedback Session

Subjects

Business