AI-Powered Automation

Leverage n8n, MCP, and Claude Desktop to Build Intelligent Workflows and Financial Research Assistants.

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Overview

This specialized 9-hour training program transforms financial professionals into advanced research automation experts using n8n, MCP protocol, and Claude Desktop integration. Participants will master the creation of intelligent financial research workflows that automatically analyze Indonesian market data through Sectors App API, build AI-powered research assistants, and develop custom MCP services for organizational use. The course progresses from manual workflow building to conversational development with Claude Desktop, culminating in the creation of professional-grade research tools that can be shared across teams and integrated into existing financial analysis processes.

Course Syllabus

  • Why Deep Research Automation Matters: From Manual Analysis to Intelligent Insights
  • Getting Started with n8n: Your Visual Research Automation Platform Fundamentals
  • Core n8n Concepts: Nodes, Connections, Triggers, and Data Flow
  • Connecting to Sectors App API: Accessing Live Indonesian Financial Data
  • Building Your First Research Workflow Manually: Company Analysis and Data Processing
  • Creating Smart Research Logic: Data Filtering, Comparison, and Trend Analysis
  • Introduction to AI Assistants: Adding Intelligence to Financial Research
  • Building AI-Powered Research Workflows That Can Analyze and Interpret Data
  • Hands-on Workshop: Create a Complete AI-Powered Company Research Assistant from Scratch
  • The AI-Assisted Approach: From Manual Building to Conversational Development
  • Setting Up n8n-MCP and Claude Desktop for Natural Language Workflow Development
  • Understanding How Claude Desktop Can Help Build Complex n8n Workflows
  • Using Claude to Discover n8n Nodes and Build Advanced Research Workflows
  • Building Sophisticated Financial Analysis Through Simple Business Questions with Claude
  • Comparing Manual vs AI-Assisted Workflow Development Approaches
  • Advanced Research Automation: Multi-Step Analysis with Claude Desktop Guidance
  • Troubleshooting and Optimizing Workflows with Claude Desktop Assistance
  • Hands-on Workshop: Build Complex Deep Research Workflows Using Claude Desktop Natural Language Interface
  • Understanding MCP: Turning Your Workflows into Professional Research Services
  • Introduction to n8n’s MCP Server Capabilities: Making Your Research Tools Shareable
  • Converting Existing Workflows into Custom MCP Services Using MCP Server Trigger
  • Configuring MCP Server Settings: Security, Authentication, and Professional Access
  • Building Multi-Function MCP Research Services: Company Analysis, Sector Screening, Risk Assessment
  • Testing Your Custom MCP Services: Connecting Back to Claude Desktop as Client
  • Advanced MCP Patterns: Complex Research Functions and Multi-Step Analysis Services
  • Deployment and Team Sharing: Making Research Tools Available Organization-Wide
  • Final Workshop: Transform Your Research Workflows into Professional MCP Services and Test with Claude Desktop

Course Receivables

  • Lecturer’s Notes

    Including Course Books (PDF), HTML files, course transcripts (if any).

  • Highly-accelerated Learning

    Learn under the guidance of our expert instructor, who will support you throughout the course with hands-on expertise and real-world insights.

  • Certification of Completion

    Show current employer hat you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistics of our online courses: high-quality audio and visual delivery, clear and seamless screen-sharing setups, and thoughtfully paced modules for an engaging, interactive learning experience.

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ABOUT THIS SERIES

Courses in this series cater to a diverse audience: from casual learners and working professionals to those venturing into data science and machine learning without a programming background.

We recognize that many students may not have prior expertise in statistics, mathematics, or algebra. Therefore, our courses are designed with a gentle learning curve, placing a strong emphasis on hands-on experience and individualized instruction. Our dedicated team of instructors and teaching assistants ensure personalized guidance every step of the way.

Teaching Methodology

Students work through tons of real-life examples using sample datasets donated by our mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

YOUR INSTRUCTOR

Muhammad Dzaky Jayalaksono
Business Intelligence Instructor at Algoritma Data Science School

Dzaky has a strong understanding and proficiency in platforms for business analytics, enabling valuable insights for data-driven decision-making. As a detail-oriented professional, He possesses the technical thinking skills to identify innovative solutions for business problems and is deeply committed to the company’s advancement. Orchestrating the end-to-end business intelligence process from defining the business problem to conducting thorough analysis, visualizing insights, and deploying impactful dashboards. Bring a comprehensive skill set to drive the entire lifecycle of business intelligence. He is motivated to continuously learn and grow, keep collaborating, and provide exceptional abilities to drive success.

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Get In Touch

PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
Office: 0813-8550-5579
Email: community@algorit.ma

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