Build Real AI Automation Tools with Agentic AI
Sapsol Technologies Inc
Launch Your Career in Agentic AI – Build Real AI Tools in Just 8 Weeks!
MLC College × TraceSecure Present
Agentic AI Project Experience & Build Program (8 Weeks)
A structured hands-on learning and project experience program designed for developers, IT professionals, students, and AI enthusiasts interested in building modern AI automation workflows and intelligent AI agents using real-world tools and APIs.
Program Structure
Phase 1: Agentic AI Workflow Development with n8n (Weeks 1–4)
Learn how modern AI automation systems and AI agents are designed using industry-relevant tools and integrations.
• n8n AI workflow automation
• Gemini AI models
• LinkedIn API integrations
• Lusha-based enrichment workflows
• SerpAPI search automation
• AI-driven workflow orchestration
• Agentic AI concepts and practical implementations
Phase 2: AI Project Build & Deployment (Weeks 5–8)
Participants will work on building an end-to-end AI project and gain exposure to deployment workflows within the TraceSecure innovation environment.
By the end of the program, participants may have:
A portfolio-oriented AI project
Hands-on AI workflow experience
Exposure to real-world AI automation concepts
Practical understanding of AI agent development
Potential Career Pathways
• AI Automation Engineer
• Agentic AI Developer
• AI Workflow Engineer
• AI Integration Specialist
• Prompt Engineering Associate
• Automation Consultant
• AI Product Builder
• LLM Application Developer
Who May Benefit from This Program
Software Developers
IT Professionals
Automation Engineers
Students exploring AI technologies
AI & Data Enthusiasts
Professionals interested in AI workflow automation
Why Join This Program?
Hands-on exposure to Agentic AI workflows
Practical AI automation projects
Exposure to APIs, LLMs, and workflow orchestration
Portfolio-oriented project experience
Structured mentor-guided learning environment
To Learn More
Selected participants will be contacted with additional program details and next steps.
Limited cohort size to support interactive learning.
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