Building Agentic AI and Autonomous Agent with Python & Groq
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
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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
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