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Learn to build AI Agent

Price

20000

Duration

30 Hours

Enroll

About the Course

Curriculum: Learn to Build AI Agents Using Langchain and Crewai

Course Overview

This curriculum is designed to guide learners through the process of building AI agents using Langchain and Crewai. The course will cover foundational concepts, practical applications, and advanced techniques to equip students with the skills needed to develop their own AI solutions.

Prerequisites

  • Basic understanding of Python programming

  • Familiarity with AI concepts and machine learning

  • Experience with APIs and web development (optional but beneficial)

Module 1: Introduction to AI Agents

  • What is an AI Agent?

  • Applications of AI Agents in various industries

  • Overview of Langchain and Crewai

Module 2: Setting Up the Development Environment

  • Installing Python and necessary libraries

  • Setting up Langchain

  • Setting up Crewai

  • Introduction to Integrated Development Environments (IDEs)

Module 3: Understanding Langchain

  • Core concepts of Langchain

  • Building blocks of Langchain: Chains, Agents, and Tools

  • Creating your first Langchain application

Module 4: Exploring Crewai

  • Introduction to Crewai and its features

  • Integrating Crewai with Langchain

  • Building conversational agents using Crewai

Module 5: Developing Your First AI Agent

  • Defining the purpose and scope of your AI agent

  • Designing the conversation flow

  • Implementing the AI agent using Langchain and Crewai

  • Testing and debugging your AI agent

Module 6: Advanced Features and Customization

  • Customizing responses and behavior of AI agents

  • Integrating external APIs and data sources

  • Implementing user authentication and session management

Module 7: Deployment and Maintenance

  • Preparing your AI agent for deployment

  • Choosing a hosting platform

  • Monitoring and maintaining your AI agent post-deployment

Module 8: Case Studies and Real-World Applications

  • Reviewing successful AI agent implementations

  • Analyzing challenges and solutions in real-world applications

  • Future trends in AI agents and their potential impact

Module 9: Capstone Project

  • Defining a project scope based on learned concepts

  • Building a complete AI agent from scratch

  • Presenting the project and receiving feedback

Additional Resources

  • Documentation for Langchain and Crewai

  • Online forums and communities for support

  • Recommended books and articles on AI and machine learning

Conclusion

This curriculum aims to provide a comprehensive learning path for individuals interested in building AI agents using Langchain and Crewai. By the end of the course, participants will have the skills and knowledge to create effective AI solutions tailored to specific needs.

Your Instructor

Nitin Monga

Nitin Monga

I am a highly skilled and results-driven Data Scientist & AI Engineer with a profound dedication to leveraging advanced AI and Machine Learning technologies to tackle intricate challenges. My expertise traverses multiple domains, including Machine Learning, Deep Learning, NLP, Large Language Models, Computer Vision, & Statistical Data Analysis. Equipped with a deep understanding of these domains, I adeptly design & implement innovative solutions that drive impactful outcomes.

Proficient in programming languages such as Python, R, & SQL, I possess a robust foundation in handling vast datasets and extracting actionable insights. My proficiency extends to data visualization & communication, enabling me to effectively convey technical findings to both technical & non-technical stakeholders. I take pride in my ability to distill complex concepts into digestible insights, facilitating informed decision-making across diverse teams & departments.

Thriving in dynamic environments, I am committed to remaining at the forefront of AI technologies, continually expanding my skill set and exploring emerging trends. With a relentless pursuit of excellence, I am driven to make a meaningful impact through the application of cutting-edge AI solutions.

Over time, I have built algorithmic trading strategies & automated trading systems utilizing Python & AI frameworks for various trading clients. Utilize machine learning techniques to analyze market data and identify profitable trading opportunities. Additionally, I have adeptly provided training to non-technical individuals in effectively utilizing these algorithmic trading methodologies.

I am extensively engaged in delivering comprehensive training sessions tailored for prominent global IT enterprises, focusing specifically on the dynamic fields of Machine Learning. These sessions encompass a wide range of topics, including but not limited to data analysis, predictive modeling, deep learning, GenAI, tuning LLMs, AI Agents & AI applications.

I bring forth over 18 years of diverse and extensive experience spanning the breadth of the IT domain, coupled with a dedicated focus of over 6 years specifically within the realm of Data Science and Machine Learning technology stack. Throughout my career journey, I have honed a robust skill set encompassing various facets of IT, including software development, project management, & strategic planning, while concurrently immersing myself in the cutting-edge innovations of Data Science & Machine Learning.
https://nitinai.xyz
https://aiagentcafe.com
https://nitinai.cafe

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