Building Agentic Ai And Autonomous Agent With Python & Groq

Build autonomous AI agent and multi agent system using Python, Groq, Open Router Llama, DeepSeek, Mistral, Gemma, Gemini

What you'll learn

Learn how to build AI research assistant and report generator agent using Groq and Llama

Learn how to build AI procurement and risk control agent using Open Router and DeepSeek

Learn how to build AI business proposal negotiator agent using Mistral and Mailjet

Learn how to build AI pricing optimization agent using Groq and Gemma

Learn how to build AI hiring and talent management agent using Gemini and Mailjet

Learn the basic fundamentals of agentic AI, such as getting to know its use cases, how it works, and the difference between regular AI and agentic AI

Learn about prompt engineering and context engineering

Learn how to create function to interact with Llama and set up Groq API

Learn how to design and implement ReAct prompting

Learn how to create function to generate research report

Learn how to create function to interact with DeepSeek and set up Open Router API

Learn how to build AI procurement manager agent and AI risk analyst agent

Learn how to create functions to send email and extract text from PDF

Learn how to create functions to interact with Mistral AI

Learn how to create AI legal agent, AI benchmark agent, and AI negotiation agent

Learn how to create functions to perform web search and interact with LLM

Learn how to create multi agent system using Groq and Gemma

Learn how to create AI agents capable of automatically generating job description and meeting link

Learn how to create AI agents capable of analyzing resumes, writing technical interview questions, and drafting email

Learn how to create autonomous HR manager agent

Requirements

No previous experience in agentic AI is required

Basic knowledge in Python and API

Description

Welcome to Building Agentic AI and Autonomous Agent with Python & Groq course. This is a comprehensive project based course where you will learn how to build cutting edge AI agents that are fully autonomous and able to make their own decisions without being directed by humans. This course is a perfect combination between Python and AI agents, making it an ideal opportunity to practice your programming skills while improving your technical knowledge in system automation. In the introduction session, you will learn the basic fundamentals of agentic AI, such as getting to know its use cases, its workflow, and the difference between regular AI and agentic AI. Then, in the next section, you will learn about the basic concepts of prompt engineering and context engineering, specifically you will learn how to design effective prompts, structure context, and guide your AI agents toward producing accurate results. Afterwards, we will start the project. Firstly we are going to build AI research assistants and report generator agents using Groq and Llama. This will be a truly agentic system, it will use the ReAct framework, meaning it will think step by step, perform reasoning, take actions autonomously, and reflect before the next move. It will also be able to perform real time web searches using Exa, gather insights, and generate professional reports without being told exactly what steps to take. Then, in the second project, we are going to build AI procurements & risk control agents using Openrouter and DeepSeek. This will include multi agent autonomous collaboration. A Procurement Manager Agent will create a procurement plan, and then a Risk Analyst Agent will autonomously review the plan. These two agents will interact, debate, and refine the plan together without human intervention, ensuring both cost effectiveness and risk mitigation. Following that, in the third project, we are going to build AI business proposals negotiator agents using Mistral AI and Mailjet. This agent will consist of three fully autonomous agents, a legal agent, a benchmark agent, and a negotiation agent. They will review proposals, benchmark against competitors, and negotiate terms. The Negotiation Agent will also send counter offer emails autonomously using Mailjet. In the fourth project, we are going to build an AI pricing optimization agent using Groq and Gemma. This AI agent will help us to autonomously discover and optimize product prices. Firstly, it will perform a web search to gather market price ranges. Then, two autonomous agents will debate, one will argue for setting a higher price, while the other will argue for a lower price. They will continue their discussion until they reach an optimal price agreement and all of these happen without human direction. Lastly, at the end of the course, for the fifth project, we are going to build an AI hiring and talent management agent using Gemini and Mailjet. This agent will act as a fully autonomous HR manager. It will generate job descriptions, analyze submitted resumes, and rank candidates. In addition, the agent will also send invitation emails via Mailjet, draft technical interview questions, and even schedule and send meeting links.Firstly, before getting into the course, we need to ask this question to ourselves, why should we build autonomous AI agents? Well, here is my answer, autonomous AI agents can help us to automate repetitive tasks, reducing the need for constant human involvement. They also help to enhance efficiency and productivity by performing complex workflows and ensuring tasks are completed on time.Below are things that you can expect to learn from this course:Learn the basic fundamentals of agentic AI, such as getting to know its use cases, how it works, and the difference between regular AI and agentic AILearn how to build AI research assistant and report generator agent using Groq and LlamaLearn how to build AI procurement and risk control agent using Open Router and DeepSeekLearn how to build AI business proposal negotiator agent using Mistral and MailjetLearn how to build AI pricing optimization agent using Groq and GemmaLearn how to build AI hiring and talent management agent using Gemini and MailjetLearn about prompt engineering and context engineeringLearn how to create function to interact with Llama and set up Groq APILearn how to design and implement ReAct promptingLearn how to create function to generate research reportLearn how to create function to interact with DeepSeek and set up Open Router APILearn how to build AI procurement manager agent and AI risk analyst agentLearn how to create functions to send email and extract text from PDFLearn how to create functions to interact with Mistral AILearn how to create AI legal agent, AI benchmark agent, and AI negotiation agentLearn how to create functions to perform web search and interact with LLMLearn how to create multi agent system using Groq and GemmaLearn how to create AI agents capable of automatically generating job description and meeting linkLearn how to create AI agents capable of analyzing resumes, writing technical interview questions, and drafting emailLearn how to create autonomous HR manager agent

Overview

Section 1: Introduction to the Course

Lecture 1 Introduction

Lecture 2 Table of Contents

Lecture 3 Whom This Course is Intended for?

Section 2: Tools, IDE, and LLM

Lecture 4 Tools, IDE, and LLM

Section 3: Introduction to Agentic AI

Lecture 5 Introduction to Agentic AI

Section 4: Prompt Engineering & Context Engineering

Lecture 6 Prompt Engineering & Context Engineering

Section 5: Building AI Research Assistant & Report Generator with Groq & Llama

Lecture 7 Creating Function to Interact with Llama & Setting Up Groq API

Lecture 8 Designing & Implementing ReAct Prompting

Lecture 9 Creating Function to Generate Research Report & Running AI Agent

Section 6: Building AI Procurement & Risk Control Agent with Open Router & DeepSeek

Lecture 10 Creating Function to Interact with DeepSeek & Setting Up Open Router API

Lecture 11 Building AI Procurement Manager Agent & AI Risk Analyst Agent

Lecture 12 Running AI Procurement & Risk Control Agent

Section 7: Building AI Business Proposal Negotiator Agent with Mistral & Mailjet

Lecture 13 Creating Functions to Send Email & Extract Text From PDF

Lecture 14 Creating Function to Interact with Mistral AI

Lecture 15 Creating AI Legal Agent, AI Benchmark Agent, and AI Negotiator Agent

Section 8: Building AI Pricing Optimization Agent with Groq & Gemma

Lecture 16 Creating Functions to Perform Web Search & Interact with LLM

Lecture 17 Creating Multi Agent System with Groq & Gemma

Lecture 18 Running AI Pricing Optimization Agent

Section 9: Building AI Hiring & Talent Management Agent with Gemini & Mailjet

Lecture 19 Creating AI Agents Capable of Generating Job Description & Meeting Link

Lecture 20 Creating AI Agents Capable of Analyzing Resumes & Writing Interview Questions

Lecture 21 Creating Autonomous HR Manager Agent

Lecture 22 Running AI Hiring & Talent Management Agent

Section 10: Conclusion & Summary

Lecture 23 Conclusion & Summary

Software engineers who are interested in building autonomous AI agents using Python, Groq, and Open Router,Tech entrepreneurs who are interested in integrating AI agents into their products