Why This Role Stands Out
This remote, weekend-based program offers invaluable hands-on experience in cutting-edge AI workflow automation and enterprise AI systems, perfect for those eager to build a robust portfolio and develop in-demand skills. You'll gain practical exposure to AI agents, n8n workflows, and API integrations through guided mentorship and real-world project work. Apply to immerse yourself in this exciting learning opportunity and accelerate your career in AI.
Quick Overview
Job Description
Agentic AI Experience Program (Remote)
8-Week Weekend-Based Project Exposure & Mentorship Program
SAPSOL Technologies Inc. is inviting interested learners to join a remote Agentic AI Experience Program focused on AI workflow automation, enterprise AI systems, AI agents, n8n workflows, APIs, and real-world automation use cases.
Important Note:
This is a structured learning, mentorship, and project exposure program.
This is not a job, internship, employment opportunity, recruitment drive, or placement offer.
About the Program
This program is designed to help participants gain hands-on exposure to modern AI automation tools and enterprise workflow systems through guided weekend sessions, real-time scenario-based exercises, and project-oriented implementation activities.
Participants will work on practical AI automation concepts used in business environments, including workflow design, API integrations, AI agents, prompt engineering, RAG systems, CRM workflows, and enterprise automation use cases.
Program Highlights
• Remote weekend-based live sessions
• Mentor-guided project walkthroughs
• Real-time scenario-based project exposure
• Hands-on AI workflow automation activities
• Portfolio-oriented project work
• Team-based collaboration activities
• Guided workflow testing and documentation
• Exposure to enterprise AI implementation concepts
• Capstone-style project experience
Technologies & Tools Covered
Participants may gain exposure to:
• n8n Workflow Automation
• Webhooks & REST APIs
• OpenAI / LLM Integrations
• AI Agents & Agentic Workflows
• Prompt Engineering
• RAG System Concepts
• PostgreSQL / Airtable Concepts
• Google Sheets / Gmail Integrations
• Slack / CRM Workflow Integrations
• Workflow Testing & Documentation
Project Exposure Areas
Participants may work on guided project scenarios such as:
• AI Email Summarizer
• AI LinkedIn Content Generation Engine
• AI Research Assistant
• AI Knowledge Base Chatbot
• AI Sales Outreach Assistant
• AI Resume Screening System
• AI Interview Evaluation Workflow
• AI Customer Support Chatbot
• AI Ticket Classification System
• AI Document Processing Workflow
• Multi-Agent Workflow Automation System
Capstone Project Exposure
As part of the program, participants may work on a capstone-style enterprise AI workflow involving:
• Input Agent
• Decision Agent
• Action Agent
• Logging Agent
• Reporting Dashboard
Participants may also gain exposure to real project documentation practices such as:
• Business Requirement Document
• Functional Specification
• Process Flow Diagram
• Prompt Library
• Test Cases
• UAT Document
• Final Demo Presentation
Who This Program Is For
This program may be suitable for:
• Students & Recent Graduates
• Developers & Engineers
• Business Analysts
• Career Transition Candidates
• Automation Enthusiasts
• Freelancers & Founders
• Professionals interested in AI workflow automation
No advanced coding background is required for beginners who are willing to learn.
Program Structure
• Weekend-based remote live sessions
• Saturday: AI concepts, live builds, use cases, and architecture walkthroughs
• Sunday: Guided project implementation, doubt solving, and portfolio-oriented work
• Structured learning path from AI foundations to enterprise workflow systems
Important Clarification
This is a paid project experience and mentorship program.
It does not include salary, employment, internship placement, or job guarantee.
Program fees are related to mentorship, learning infrastructure, tools access, project environments, and guided project support.
Enrollment Process
Interested participants may share:
• Brief background summary
• Technical interests
• LinkedIn profile, optional
• Weekend availability
To register your interest, contact:
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