Jul 13, 2026

Agentic AI expert

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πŸš€ Launch Your Career in Agentic AI – Build Real AI Tools in Just 8 Weeks!

πŸ”₯ MLC College Γ— 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.

πŸ“Œ Program Structure

πŸ”Ή 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.

Participants will gain exposure to:

β€’ n8n AI workflow automation

β€’ Gemini AI models

πŸ”Ή 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:

βœ” A portfolio-oriented AI project

βœ” Hands-on AI workflow experience

βœ” Exposure to real-world AI automation concepts
βœ” Practical understanding of AI agent development

🎯 Potential Career Pathways

This program is intended to help participants strengthen skills relevant to emerging AI-related roles such as:

β€’ AI Automation Engineer

β€’ Agentic AI Developer

β€’ LLM Application Developer

πŸ“Who May Benefit from This Program

βœ” Software Developers

βœ” IT Professionals

βœ” Automation Engineers

βœ” Students exploring AI technologies
βœ” AI & Data Enthusiasts
βœ” Professionals interested in AI workflow automation

πŸ’‘ Why Join This Program?

βœ… Hands-on exposure to Agentic AI workflows

βœ… Practical AI automation projects

βœ… Exposure to APIs, LLMs, and workflow orchestration
βœ… Portfolio-oriented project experience
βœ… Structured mentor-guided learning environment

πŸ“© To Learn More

Send your updated resume/profile to:

[email protected]

Selected participants will be contacted with additional program details and next steps.

Limited cohort size to support interactive learning.

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