Udemy

AI Agents for Everyone & AI Bootcamp with 100 Hands-on Labs

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  • 26,632 Students
  • Updated 7/2025
  • Certificate Available
4.3
(300 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
15 Hour(s) 57 Minute(s)
Language
English
Taught by
School of AI
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.3
(300 Ratings)

Course Overview

AI Agents for Everyone & AI Bootcamp with 100 Hands-on Labs

Learn to Build, Deploy, and Master AI Agents with Hands-On Projects and Practical Applications(AI)

The course "AI Agents for Everyone and Artificial Intelligence Bootcamp" is designed to demystify the world of intelligent systems, making it accessible to learners of all levels. Whether you're a curious beginner or an aspiring AI developer, this course provides a comprehensive foundation in the development, deployment, and application of AI agents across various domains. With a strong emphasis on hands-on learning, participants will explore state-of-the-art technologies such as machine learning, natural language processing (NLP), and advanced frameworks like AutoGPT, IBM Bee, LangGraph, and CrewAI.

Throughout the course, learners will gain a deep understanding of how AI agents function, from basic reflex agents to advanced collaborative systems. You'll learn about the core principles that govern intelligent agents, including decision-making, adaptability, and autonomy. By understanding these foundations, you will be equipped to create AI agents that can perceive their environment, make informed decisions, and perform complex tasks. The course also delves into the critical technologies that power AI agents, such as machine learning algorithms for predictive insights, NLP techniques for conversational AI, and robotics integration for automation.

One of the course’s unique aspects is its focus on practical application. You will work on hands-on projects to develop and deploy AI agents in real-world scenarios. From creating collaborative systems with CrewAI to implementing stateful interactions using LangGraph, you’ll get valuable experience with cutting-edge tools and frameworks. Additionally, the course explores the transformative potential of AI agents in industries such as healthcare, finance, business operations, entertainment, and IoT, providing actionable insights into their role in shaping the future.

Ethics and societal impact are integral to this learning experience. The course examines the ethical considerations and regulatory challenges surrounding AI agents, empowering you to approach development with responsibility and foresight. You’ll explore the implications of deploying AI agents in various contexts, understanding how to address bias, ensure fairness, and adhere to legal and ethical standards. By the end of this course, you’ll have a nuanced perspective on the role of AI in modern society, recognizing its potential to foster innovation while navigating its challenges.

The course culminates in an exploration of future trends, showcasing how AI agents are set to redefine collaboration, enhance public safety, and accelerate scientific research. With insights into emerging technologies and methodologies, you'll leave equipped to stay ahead in the rapidly evolving AI landscape. By the end of the bootcamp, you'll have a solid foundation in AI agent development, a portfolio of completed projects, and the confidence to apply your skills to real-world challenges. Whether your goal is to advance your career, innovate within your organization, or simply gain a deeper understanding of AI, this course is your gateway to mastering the exciting and impactful field of intelligent agents.

Course Content

  • 30 section(s)
  • 234 lecture(s)
  • Section 1 Understanding AI Agents
  • Section 2 Technologies Behind AI Agents
  • Section 3 AI Agent Frameworks & Architectures
  • Section 4 Applications of AI Agents
  • Section 5 Future Trends and Ethical Implications
  • Section 6 Broader Impact of AI Agents
  • Section 7 AI Agents: A Comprehensive Overview
  • Section 8 AI Bootcamp Week 1: Python Programming Basics for Artificial Intelligence
  • Section 9 AI Bootcamp Week 2: Data Science Essentials for Artificial Intelligence
  • Section 10 AI Bootcamp Week 3: Mathematics for Machine Learning and Artificial Intelligence
  • Section 11 AI Bootcamp Week 4: Probability and Statistics for Machine Learning
  • Section 12 AI Bootcamp Week 5: Introduction to Machine Learning
  • Section 13 AI Bootcamp Week 6: Feature Engineering and Model Evaluation
  • Section 14 AI Bootcamp Week 7: Advanced Machine Learning Algorithms
  • Section 15 AI Bootcamp Week 8: Model Tuning and Optimization
  • Section 16 AI Bootcamp Week 9: Neural Networks and Deep Learning Fundamentals
  • Section 17 AI Bootcamp Week 10: Convolutional Neural Networks (CNNs)
  • Section 18 AI Bootcamp Week 11: Recurrent Neural Networks (RNNs) and Sequence Modeling
  • Section 19 AI Bootcamp Week 12: Transformers and Attention Mechanisms
  • Section 20 AI Bootcamp Week 13: Transfer Learning and Fine-Tuning
  • Section 21 Finance AI Agents Hands-on Lab
  • Section 22 HR AI Agents Hands-on Lab
  • Section 23 Procurement AI Agents Hands-on Lab
  • Section 24 Sales AI Agents Hands-on Lab
  • Section 25 Marketing AI Agents Hands-on Lab
  • Section 26 IT Support AI Agents Hands-on Lab
  • Section 27 Customer Service AI Agents Hands-on Lab
  • Section 28 Operations AI Agents Hands-on Lab
  • Section 29 Legal & Compliance AI Agents Hands-on Lab
  • Section 30 General Business AI Agents Hands-on Lab

What You’ll Learn

  • Understand the fundamentals of AI agents and their decision-making processes
  • Learn about machine learning and NLP technologies powering AI agents.
  • Explore different types of AI agents, from simple to advanced systems.
  • Gain hands-on experience with AutoGPT, IBM Bee, LangGraph, and CrewAI.
  • Develop AI agents for business, healthcare, finance, and entertainment.
  • Understand ethical considerations and biases in AI agent development.
  • Address legal and regulatory challenges for deploying AI agents.
  • Build collaborative and stateful AI agents using advanced frameworks.
  • Explore future trends and societal impacts of AI agents in various fields.
  • Create a portfolio of real-world AI agent projects for professional growth.


Reviews

  • J
    John Maiya
    5.0

    The foundation knowledge on understanding different kinds of agents is educative

  • P
    Pedro
    4.0

    YES VERY INTRESTING SO FAR

  • R
    Ross
    1.0

    so far it sounds like he likes to hear himself talk

  • D
    Dinh Cao Son
    5.0

    Very useful

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