CrewAI Multi-Agent Career Development IT

CrewAI Career Development

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

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

สรุป

CrewAI Multi-Agent Career Development IT Skills Path AI Cloud DevOps Security Data Agent Resume Interview Learning Plan Production