Build autonomous AI agent and multi agent system using Python, Groq, Open Router Llama, DeepSeek, Mistral, Gemma, Gemini
What you will 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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- Unlock the potential of autonomous AI by mastering the creation of sophisticated agents capable of independent thought and action.
- Explore the cutting-edge of large language models (LLMs) by integrating powerful engines like Groq, Llama, DeepSeek, Mistral, Gemma, and Gemini into your AI creations.
- Dive deep into the architectural design of agentic systems, understanding how to orchestrate multiple agents for complex problem-solving.
- Develop proficiency in advanced AI interaction techniques, moving beyond simple API calls to build dynamic and responsive agents.
- Gain hands-on experience in streamlining workflows by automating tasks across various business functions, from research and procurement to HR and negotiation.
- Acquire the skills to build agents that can actively engage with the digital world, performing web searches and interacting with external systems.
- Learn to imbue your agents with the ability to understand and process complex data, including unstructured text from documents and web pages.
- Master the art of constructing intelligent conversational agents that can negotiate, advise, and manage key business processes.
- Understand the foundational principles of agentic AI, distinguishing its capabilities from traditional AI approaches.
- Learn to design agents that can adapt to evolving information and generate comprehensive, data-driven outputs.
- Develop the capacity to build AI systems that can proactively manage resources and optimize operational efficiency.
- Gain insight into creating agents that can facilitate communication and collaboration through automated messaging and scheduling.
- PROS:
- Gain practical, job-ready skills in a rapidly growing field of AI development.
- Build a portfolio of advanced AI agent projects showcasing diverse applications.
- Access to the latest advancements in LLM technology and agentic AI frameworks.
- CONS:
- Requires a solid understanding of Python programming fundamentals.
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