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EncartaLabs

Agentic Programming

( Duration: 2 Days )

This Agentic Programming training course delves into designing AI systems around autonomous agents capable of making decisions, learning from their environment, and interacting with other agents. You'll learn how to program these agents to act independently using agent-oriented principles, moving beyond traditional programming paradigms.

The Agentic Programming workshop will focus on creating intelligent AI agents, exploring their applications, and understanding the underlying theories that guide their behaviors in dynamic environments.

  • Basic knowledge of AI and programming concepts is recommended.

COURSE AGENDA

1

Introduction to AI Agents and Agentic AI

  • What are AI agents, and how do they differ from traditional software?
  • The concept of agency in AI: autonomy, adaptability, and interactivity
  • Overview of agentic AI's role in transforming technology and business
2

Principles of Agent-Oriented Programming (AOP)

  • Core elements of AI agents: beliefs, desires, and intentions (BDI)
  • How AOP directly applies to AI agent behavior modeling
  • Understanding the agent's environment and its impact on decision-making
3

Building Intelligent Agents

  • Steps to design autonomous AI agents with adaptive capabilities
  • Programming agents to perceive, reason, and act in uncertain conditions
  • Introduction to reinforcement learning techniques for agent training
4

Developing Multi-Agent Systems

  • Creating collaborative AI systems where multiple agents interact
  • Techniques for communication protocols and coordination among agents
  • Handling conflicts and cooperation in multi-agent environments
5

AI Agents in Business and Industry

  • Real-world use cases in robotics, virtual assistants, and smart automation
  • Implementing AI agents in finance, logistics, and customer support
  • Evaluating the impact of agentic AI on decision-making processes
6

Ethical Considerations in AI Agent Development

  • Addressing ethical challenges when designing autonomous agents
  • Exploring transparency, accountability, and biases in AI decisions
  • Future trends and the role of responsible AI development
7

Building a Functional AI Agent

  • Step-by-step guide to creating an AI agent using AOP principles
  • Implementing adaptive decision-making processes in agent design
  • Testing and refining the agent’s interactions within a simulated environment
8

Advanced AI Agent Design Challenges

  • Expanding single-agent capabilities to handle complex tasks
  • Case studies on scaling AI agents for enterprise-level applications
  • Best practices for improving agent performance and reliability

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting https://www.encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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