Build autonomous AI agent and multi agent system using Python, Groq, Open Router Llama, DeepSeek, Mistral, Gemma, Gemini
What you will learn
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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
Add-On Information:
- Unlock the future of AI by mastering the creation of intelligent, self-directed autonomous agents and sophisticated multi-agent systems.
- Harness the power of cutting-edge LLMs from Groq, Llama, DeepSeek, Mistral, Gemma, and Gemini, integrating them seamlessly into your agentic workflows.
- Develop practical, real-world AI solutions across diverse domains, including AI-powered research, automated report generation, and intelligent procurement and risk assessment.
- Elevate your prompt engineering skills to orchestrate complex agent behaviors, enabling them to perform nuanced tasks like business proposal negotiation and dynamic pricing optimization.
- Automate key HR functions by building agents that can manage talent acquisition, analyze resumes, generate interview questions, and streamline hiring processes.
- Gain a deep understanding of agentic AI fundamentals, distinguishing between traditional AI and the proactive, goal-oriented nature of agentic systems.
- Master the art of ReAct prompting to imbue your agents with the ability to reason, act, and observe, leading to more robust and adaptive AI.
- Integrate external tools and data into your agents, enabling them to perform web searches, interact with APIs, and process information from documents like PDFs.
- Design and implement collaborative multi-agent systems that can work together to achieve complex objectives.
- Build specialized AI agents for legal analysis, performance benchmarking, and sophisticated negotiation, expanding your AI development toolkit.
- Craft agents capable of automating administrative tasks such as generating meeting links and drafting professional correspondence.
- Gain practical experience in setting up and interacting with APIs from providers like Groq and Open Router.
- Develop a strategic perspective on how agentic AI can drive efficiency and innovation within organizations.
- Acquire hands-on coding proficiency in Python for building and deploying your custom AI agents.
- Pros:
- Comprehensive coverage of leading LLMs and their application in agentic AI.
- Focus on practical, job-ready skills with a strong emphasis on real-world use cases.
- Introduction to advanced concepts like ReAct prompting and multi-agent systems.
- Cons:
- Requires a foundational understanding of Python programming.
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