Скачать или смотреть 🔔 Building AI Agentic Applications - for Life science

Building AI Agentic Applications – for Life Science

I’m excited to invite you to this video series on Building AI Agentic Applications, where we go beyond simple LLM prompts and learn how to build real, autonomous AI agents using Python.

In this series, I demonstrate how to design, build, and deploy agentic AI systems step by step — with a strong focus on Life Science and Bioinformatics use cases.

🧠 WHAT YOU WILL LEARN
• Core concepts behind AI agents and agentic workflows
• How AI agents differ from traditional LLM-based applications
• Popular frameworks used to build agentic systems
• Building agents using OpenAI LLMs as well as free local LLMs
• How agents reason, act, and iterate using ReAct-style loops

🛠️ BUILDING AI AGENTS (HANDS-ON)
• Creating simple AI agents using Python
• Using the OpenAI Agent SDK
• Building agents with local LLMs (Ollama, GPT-OSS)
• Creating chat-based agent interfaces

🚀 ADVANCED AGENT CAPABILITIES
• Tool-using AI agents (function calling)
• Tracing, debugging, and streaming agent execution
• Sessions and memory (short-term & long-term)
• Enforcing structured outputs
• Adding input and output guardrails for safety and control

🤖 MULTI-AGENT ECOSYSTEMS
• Designing multi-agent systems
• Main agent / sub-agent (master–worker) architectures
• Sequential and hierarchical agent orchestration
• Agents deciding which other agents to call dynamically

🔌 NEXT-GENERATION CONNECTIVITY
• Leveraging Model Context Protocol (MCP) to empower agents with external context and tools

🧬 REAL-WORLD LIFE SCIENCE USE CASES
• Automated external database release checker using multi-agent systems
(ClinVar, dbNSFP, gnomAD)
• Bioinformatics chatbot agents
• NGS Quality Control agent using FastQC
• Agentic career profile: turn your resume into an interactive AI agent

This series is ideal for:
• Bioinformaticians
• Life science researchers
• AI engineers exploring agentic AI
• Developers looking to build real-world autonomous AI systems

👉 This is a hands-on, practical series focused on building production-relevant AI agents — not just demos.

👍 Like | 💬 Comment | 🔔 Subscribe for upcoming videos in this series