Implementation of GenAI Agents

Instructors: Ritesh Vajariya +1 more

What you'll learn

  •   Apply core principles of AI agent architecture to design a basic agent system
  •   Construct a development environment for building and testing AI agents
  •   Develop a functional AI agent using a chosen framework (e.g., LangChain or AutoGen)
  •   Evaluate and optimize an AI agent's performance through advanced feature integration
  • Skills you'll gain

  •   Generative AI
  •   Artificial Intelligence
  •   Agentic systems
  •   Large Language Modeling
  •   Programming Principles
  •   Development Environment
  •   Generative AI Agents
  •   Applied Machine Learning
  •   Performance Tuning
  •   Scalability
  •   OpenAI
  •   Prompt Engineering
  • There is 1 module in this course

    This course is crafted for software developers, AI engineers, data scientists, and data and business analysts who are keen to implement AI in real-world scenarios. If you're interested in expanding your technical skills and gaining hands-on experience with AI agent development, this is the perfect starting point. Whether you're aiming to enhance existing applications, explore AI-powered solutions, or bring new ideas to life, this course equips you with essential skills for AI-driven innovation. This course is designed to be accessible to learners with a foundational understanding of Python programming and a general awareness of AI concepts; advanced AI expertise is not required. To participate fully, you’ll need a computer with a reliable internet connection, as the course involves hands-on coding exercises and interactive problem-solving. An openness to practical, step-by-step learning and real-world application is key, as this course emphasizes a mix of theory and immediate implementation. By the end of this course, learners will have the skills to apply core principles of AI agent architecture, enabling them to design and implement a basic agent system. You'll gain the capability to construct an efficient development environment for building and testing your AI agents, facilitating smooth workflows and testing processes. Additionally, you’ll develop a fully functional AI agent using frameworks like LangChain or AutoGen and learn to evaluate and optimize its performance through advanced feature integration, enhancing your agent’s effectiveness and adaptability in real-world applications.

    Explore more from Software Development

    ©2025  ementorhub.com. All rights reserved