Description
Building Agentic AI and Autonomous Agent with Python & Groq. This course is a comprehensive, project-based program that teaches participants how to build fully autonomous AI systems that are capable of making decisions and acting without human guidance. The course begins by teaching the basics of agent-based AI, prompt engineering, and context management. Participants then complete five hands-on projects. The first project involves building an autonomous research assistant using Groq and Llama that leverages the ReAct framework for reasoning and web search with Exa to produce professional reports. The second project builds a multi-agent system with Openrouter and DeepSeek in which a procurement manager agent and a risk analyst agent work independently to optimize applications. The third project focuses on building a business negotiation agent with Mistral AI and Mailjet, which includes three legal, benchmark, and negotiation agents to review proposals and send reciprocal emails. The fourth project is a price optimization agent with Groq and Gemma that works through a discussion between the two agents to determine the optimal price of a product. Finally, the fifth project builds a talent management agent with Gemini and Mailjet that automatically generates job descriptions, analyzes resumes, and manages the interview process.
What you will learn
- Building AI research assistant agents and generating reports with Groq and Llama.
- Building AI procurement and risk control agents with Open Router and DeepSeek.
- Building AI business proposal negotiation agents with Mistral and Mailjet.
- Building AI price optimization agents with Groq and Gemma.
- Building AI recruiting and talent management agents with Gemini and Mailjet.
- Familiarity with the basics of agent-based artificial intelligence, including its uses, how it works, and how it differs from conventional artificial intelligence.
- Learning prompt engineering and context engineering.
- Create a function to interact with Llama and set up the Groq API.
- Design and implementation of ReAct prompting.
- Create a function to generate a research report.
- Create a function to interact with DeepSeek and set up the Open Router API.
- Building an AI Procurement Manager Agent and an AI Risk Analyst Agent.
- Create functions to send emails and extract text from PDF.
- Creating functions to interact with Mistral AI.
- Creating an AI legal agent, benchmark agent, and negotiation agent.
- Create functions to perform web searches and interact with LLM.
- Creating a multi-agent system using Groq and Gemma.
- Creating AI agents capable of automatically generating job descriptions and meeting links.
- Creating AI agents capable of analyzing resumes, writing technical interview questions, and drafting emails.
- Creating an autonomous HR manager agent.
This course is suitable for people who:
- Software Engineers: People interested in building autonomous AI agents using Python, Groq, and Open Router.
- Technology entrepreneurs: People who are interested in integrating AI elements into their products.
Course details: Building Agentic AI and Autonomous Agent with Python & Groq
- Publisher: Udemy
- Instructor: Christ Raharja
- Training level: Beginner to advanced
- Training duration: 4 hours and 24 minutes
- Number of lessons: 23
Course headings
Prerequisites for the Building Agentic AI and Autonomous Agent with Python & Groq course
- No previous experience in agent AI is required
- Basic knowledge in Python and API
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
1.6 GB
