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  1. Courses
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  3. Implementation of Gen AI Agents

Implementation of Gen AI Agents

Build an AI agent in just 75 minutes! This hands-on course fast-tracks you from concept to code, teaching real-world AI agent development using modern tools. Create smart assistants that understand, decide, and act no fluff, all action.

Ritesh Vajariya
Ritesh Vajariya
Cybersecurity | intermediate | 1 hour 15 minutes |   Published: Jul 2025
In partnership with: Coursera

    Discussions

Overview

1kSTUDENTS*
96.5RECOMMEND*
  • 1 hour 15 minutes of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

Hey there, future AI architects and tech innovators! Ready to dive into the cutting-edge world of AI agents? Buckle up for an exhilarating 75-minute journey that will transform you from an AI enthusiast into a hands-on developer. 

Imagine creating an AI assistant that can understand, reason, and act – all in less time than it takes to watch a movie. That's the power of modern AI development, and you're about to harness it. We're not just talking theory here; you'll be building agents that process language, make decisions, and even learn from their actions. 

This course is your gateway to becoming a pioneer in the AI revolution. By the end, you'll have the practical skills to design AI systems that tackle real-world challenges, from enhancing customer service to solving complex problems. Whether you're aiming to supercharge your dev skills, prototype your next big idea, or explore the frontiers of AI, you'll approach each task with confidence and expertise. 

What sets this course apart is its laser focus on efficiency and real-world application: 

  • Fast-track learning: Go from concept to working AI agent in just 75 minutes 

  • Hands-on approach: Dive into coding from the get-go, with just enough theory to guide you 

  • Immediate applicability: Gain skills you can apply to your projects or career right away 

  • Scalable knowledge: Learn techniques that grow with you, from simple to advanced AI systems 

You'll master AI agent development fundamentals, giving you a competitive edge in the rapidly evolving tech landscape. Learn to leverage powerful frameworks and language models, creating AI agents that can understand, decide, and act. Navigate the complexities of AI design with confidence, developing strategies to enhance your agent's capabilities and performance. 

Are you ready to code the future and become an AI agent trailblazer? Let's bring your AI ideas to life – your 75-minute adventure in reshaping technology starts now! 

Skills You Will Gain

AI Agents
Machine Learning
Python Programming
LangChain
Natural Language Processing (NLP)

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

  • 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 

Prerequisites

To get the most out of this course, learners should have a basic understanding of Python programming and be familiar with general AI concepts though no advanced knowledge is required. Participants will need access to a computer with an internet connection and should come with an openness to hands-on coding and problem-solving.

Who Should Attend

This course is ideal for software developers, AI engineers, data scientists, and data or business analysts who are interested in implementing AI solutions.

Curriculum

Instructors

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 01: Designing AI Agent Architecture
2Module 02: Developing a Functional AI Agent
3Module 03: Optimizing AI Agent Performance

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 06: Constructing Your AI Development Lab

Segment 07: Integrating AI Frameworks and Libraries

Segment 08: Implementing Your Agent with LangChain-AutoGen

Segment 09: Coding Core Agent Functionalities

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 10: Evaluating Your AI Agent-s Performance

Segment 11: Enhancing Your Agent with Memory Capabilities

Segment 12: Optimizing Your Agent with Advanced Tools

Segment 13: Fine-tuning Your AI Assistant for Peak Performance

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 01: Fundamentals of AI Agent Architecture

Segment 02: Architecting Your AI Agent-s Blueprint

Segment 03: Designing Your Agent-s Decision-Making Core

Segment 04: Mapping Your Agent-s Interaction Flow

Segment 05: Structuring Your Agent-s Knowledge Base

Ritesh Vajariya

Ritesh Vajariya

Ritesh is a dedicated AI strategist and educator, committed to empowering individuals and organizations with the transformative power of artificial intelligence. Over the years, he has guided leaders across the globe in crafting and executing impactful AI strategies, helping them navigate the complexities of AI adoption and integration. His journey in the AI field has seen him lead innovative projects, mentor aspiring AI professionals, and contribute to the development of cutting-edge AI technologies.

Passionate about demystifying AI, Ritesh strives to make it accessible to everyone, regardless of their background or expertise. He has worked closely with C-level executives, spearheading the creation of advanced AI solutions and playing a pivotal role in launching groundbreaking AI products that have reshaped industries. His AI for Leaders program has educated over 1,000 leaders, fostering AI-driven business transformation and career growth.

Beyond teaching, Ritesh actively advises early-stage companies in the AI, education, cloud, and SaaS sectors, enriching his understanding of the evolving technological landscape. His diverse experience allows him to provide holistic guidance to those looking to leverage AI in their ventures.

With a mission to make AI knowledge not just an asset but a catalyst for innovation, Ritesh continues to drive meaningful change, helping businesses and individuals unlock new opportunities in the AI-driven world.

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