What will you learn in AI Agent Developer Specialization Course
Understand the core principles and architecture of AI agents
Build intelligent agents using tools like LangChain, OpenAI APIs, and vector databases
Learn prompt engineering strategies to guide agent behavior
Design multi-agent systems and autonomous workflows
Integrate AI agents into real-world applications like chatbots, copilots, and task solvers
Program Overview
Course 1: AI Agents Overview and Architecture
⏳ 1 week
Topics: Definition of AI agents, agent-environment loop, memory, planning, and tools
Hands-on: Use LangChain to build a simple AI agent with memory and reasoning components
Course 2: Tools & Technologies for AI Agents
⏳ 1 week
Topics: Prompt engineering, vector databases, function calling, tool selection
Hands-on: Integrate OpenAI API with a vector store and use retrieval-augmented generation
Course 3: Multi-Agent Systems and Collaboration
⏳ 1 week
Topics: Agent communication, task delegation, orchestration of workflows
Hands-on: Design a collaborative system of AI agents performing distinct roles
Course 4: Real-World Applications & Deployment
⏳ 1 week
Topics: Building chatbots, coding assistants, AI copilots, and API-integrated agents
Hands-on: Deploy a working AI agent using real data and external tools
Course 5: Reliability, Evaluation & Safety
⏳ 1 week
Topics: Evaluation metrics, error handling, safety, hallucination prevention
Hands-on: Implement safeguards and perform performance analysis on AI agent output
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Job Outlook
AI agent development is a rapidly growing field, fueling the next generation of intelligent automation
Roles such as AI Engineer, Prompt Engineer, and Autonomous Systems Developer are in high demand
Skills in LangChain, LLMs, and agent architectures are highly sought after in startups and enterprise AI teams
Freelancers and technologists benefit from this niche by building specialized tools and copilots
Specification: AI Agent Developer Specialization
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