CrewAI Multi-Agent Career Development IT — สร้าง

CrewAI Career Development

CrewAI Multi-Agent AI Career Development IT Skills Path LLM Agent Task Crew Python Resume Interview Learning Plan Production

เนื้อหาเกี่ยวข้อง — อ่านต่อ: MLflow Experiment Code Review Best Practice

Agent	Role	Tools	Output
Career Analyst	วิเคราะห์ Skills Gap	Web Search Job API	Skills Gap Report
Skills Researcher	ค้นหา Market Demand	Search LinkedIn Indeed	Trending Skills List
Learning Planner	วางแผนการเรียน	Course API Udemy	Learning Path + Timeline
Resume Optimizer	ปรับ Resume	File Read NLP	Optimized Resume
Interview Coach	เตรียมสัมภาษณ์	Search LLM	Q&A + Mock Interview

CrewAI Implementation

# === CrewAI Career Development Agents ===



# pip install crewai crewai-tools



# from crewai import Agent, Task, Crew, Process

# from crewai_tools import SerperDevTool, WebsiteSearchTool

#

# search_tool = SerperDevTool()

#

# career_analyst = Agent(

#     role="Senior Career Analyst",

#     goal="Analyze current skills and identify gaps for target role",

#     backstory="Expert career counselor with 15 years in IT recruitment",

#     tools=[search_tool],

#     verbose=True,

#     llm="gpt-4o"

# )

#

# skills_researcher = Agent(

#     role="IT Skills Market Researcher",

#     goal="Research current market demand for IT skills and certifications",

#     backstory="Data analyst specializing in job market trends",

#     tools=[search_tool],

#     verbose=True

# )

#

# learning_planner = Agent(

#     role="Learning Path Architect",

#     goal="Create actionable learning plan with courses and timeline",

#     backstory="Education technology specialist with curriculum design expertise",

#     tools=[search_tool],

#     verbose=True

# )



from dataclasses import dataclass



@dataclass

class CareerAgent:

    role: str

    goal: str

    tools: str

    output: str

    llm: str



agents = [

    CareerAgent("Career Analyst",

        "วิเคราะห์ Skills ปัจจุบัน หา Gap กับ Target Role",

        "SerperDevTool WebsiteSearchTool",

        "Skills Gap Analysis Report",

        "GPT-4o (ต้องการ Reasoning ดี)"),

    CareerAgent("Skills Researcher",

        "ค้นหา Skills ที่ Market ต้องการ Trending Technologies",

        "SerperDevTool LinkedInTool",

        "Market Demand Report Top Skills List",

        "GPT-4o-mini (Search + Summarize)"),

    CareerAgent("Learning Planner",

        "วางแผนการเรียน Course Certification Timeline",

        "SerperDevTool CourseTool",

        "Learning Path 3-6-12 Month Plan",

        "GPT-4o (Planning Complex)"),

    CareerAgent("Resume Optimizer",

        "ปรับ Resume ให้ตรง JD เพิ่ม Keywords ATS-friendly",

        "FileReadTool NLPTool",

        "Optimized Resume + Cover Letter",

        "GPT-4o (Writing Quality)"),

    CareerAgent("Interview Coach",

        "เตรียม Technical Behavioral Questions Mock Interview",

        "SerperDevTool",

        "Interview Q&A Guide + Tips",

        "GPT-4o (Conversation Quality)"),

]



print("=== Career Development Agents ===")

for a in agents:

    print(f"  [{a.role}]")

    print(f"    Goal: {a.goal}")

    print(f"    Tools: {a.tools}")

    print(f"    Output: {a.output}")

    print(f"    LLM: {a.llm}")

IT Career Path

# === IT Career Path Analysis ===



@dataclass

class CareerLevel:

    level: str

    years: str

    skills: str

    salary_thb: str

    next_step: str



career_path = [

    CareerLevel("Junior Developer",

        "0-2 ปี",

        "HTML CSS JS Python SQL Git Basic Framework",

        "20,000-35,000",

        "เรียน Framework เพิ่ม ทำ Side Projects"),

    CareerLevel("Mid Developer",

        "2-5 ปี",

        "React/Vue Node.js/Django Docker AWS CI/CD Testing",

        "35,000-60,000",

        "เรียน System Design Cloud Certification"),

    CareerLevel("Senior Developer",

        "5-8 ปี",

        "System Design Architecture Mentoring Performance Security",

        "60,000-120,000",

        "เลือก IC Track หรือ Management Track"),

    CareerLevel("Tech Lead",

        "8-12 ปี",

        "Team Leadership Technical Decision Code Review Architecture",

        "100,000-180,000",

        "Engineering Manager หรือ Staff Engineer"),

    CareerLevel("Staff/Principal Engineer",

        "10+ ปี (IC Track)",

        "Cross-team Impact Technical Vision Innovation Research",

        "150,000-350,000",

        "Distinguished Engineer VP of Engineering"),

    CareerLevel("Engineering Manager",

        "10+ ปี (Management Track)",

        "People Management Hiring Budget Strategy Stakeholder",

        "150,000-300,000",

        "Director VP of Engineering CTO"),

]



print("=== IT Career Path ===")

for c in career_path:

    print(f"\n  [{c.level}] Years: {c.years}")

    print(f"    Skills: {c.skills}")

    print(f"    Salary: {c.salary_thb} THB/month")

    print(f"    Next: {c.next_step}")

Skills Roadmap 2026

# === Top Skills 2026 ===



@dataclass

class SkillCategory:

    category: str

    skills: str

    demand: str

    learning_time: str

    certification: str



skills_2026 = [

    SkillCategory("AI/ML",

        "LLM Prompt Engineering RAG Fine-tuning AI Agent CrewAI LangChain",

        "สูงมาก (ทุกบริษัทต้องการ)",

        "3-6 เดือน",

        "Google AI ML Certification AWS ML Specialty"),

    SkillCategory("Cloud",

        "AWS Azure GCP Kubernetes Terraform Serverless FinOps",

        "สูงมาก (Cloud-first Strategy)",

        "3-6 เดือน",

        "AWS SAA CKA Terraform Associate"),

    SkillCategory("DevOps/Platform",

        "CI/CD GitOps ArgoCD IaC Monitoring Observability",

        "สูง",

        "3-6 เดือน",

        "CKA AWS DevOps Professional"),

    SkillCategory("Security",

        "DevSecOps SAST DAST Zero Trust SASE CSPM",

        "สูงมาก (Compliance กฎหมาย)",

        "6-12 เดือน",

        "Security+ CISSP CEH"),

    SkillCategory("Data Engineering",

        "Spark dbt Airflow Kafka Streaming Analytics",

        "สูง",

        "6-12 เดือน",

        "AWS Data Analytics Google Data Engineer"),

    SkillCategory("Programming",

        "Python TypeScript Go Rust",

        "สูง (Python + TypeScript ยังแข็งแกร่ง)",

        "1-3 เดือน (เพิ่มภาษา)",

        "ไม่จำเป็น เน้น Portfolio"),

]



print("=== Skills Roadmap 2026 ===")

for s in skills_2026:

    print(f"\n  [{s.category}] Demand: {s.demand}")

    print(f"    Skills: {s.skills}")

    print(f"    Time: {s.learning_time}")

    print(f"    Cert: {s.certification}")

เคล็ดลับ

AI Agent: เรียน AI Agent Framework (CrewAI LangChain) เป็น Skills ที่ต้องมี
Cloud: AWS Certification เพิ่มเงินเดือน 20-30%
T-shaped: เก่งลึก 1 ด้าน + รู้กว้างหลายด้าน
Portfolio: ทำ Side Projects ดีกว่า Certificate อย่างเดียว
Network: เข้า Community Meetup Conference สร้างเครือข่าย

CrewAI คืออะไร

Open Source Multi-Agent AI Framework Agent Role Goal Task Crew LLM GPT-4 Tools Memory Sequential Hierarchical Python pip Research

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