Build Real AI Automation Tools with Agentic AI
About The Position
MLC College and TraceSecure present an 8-week Agentic AI Project Experience & Build Program. This structured, hands-on program is designed for developers, IT professionals, students, and AI enthusiasts who want to build modern AI automation workflows and intelligent AI agents using real-world tools and APIs. The program is divided into two phases: Phase 1 (Weeks 1-4) focuses on Agentic AI Workflow Development with n8n, covering n8n AI workflow automation, Gemini AI models, LinkedIn API integrations, Lusha-based enrichment workflows, SerpAPI search automation, AI-driven workflow orchestration, and Agentic AI concepts. Phase 2 (Weeks 5-8) involves building and deploying an end-to-end AI project within the TraceSecure innovation environment. Participants will gain practical experience, develop a portfolio-oriented AI project, and understand real-world AI automation concepts and AI agent development.
Requirements
- Interest in building modern AI automation workflows and intelligent AI agents.
- Willingness to use real-world tools and APIs.
- Participants will gain exposure to n8n AI workflow automation.
- Participants will gain exposure to Gemini AI models.
- Participants will gain exposure to LinkedIn API integrations.
- Participants will gain exposure to Lusha-based enrichment workflows.
- Participants will gain exposure to SerpAPI search automation.
- Participants will gain exposure to AI-driven workflow orchestration.
- Participants will gain exposure to Agentic AI concepts and practical implementations.
- Participants will work on building an end-to-end AI project.
- Participants will gain exposure to deployment workflows.
- Software Developers
- IT Professionals
- Automation Engineers
- Students exploring AI technologies
- AI & Data Enthusiasts
- Professionals interested in AI workflow automation
Nice To Haves
- A portfolio-oriented AI project
- Hands-on AI workflow experience
- Exposure to real-world AI automation concepts
- Practical understanding of AI agent development
Responsibilities
- Develop modern AI automation workflows.
- Build intelligent AI agents.
- Utilize real-world tools and APIs for AI development.
- Gain exposure to n8n AI workflow automation.
- Integrate Gemini AI models.
- Implement LinkedIn API integrations.
- Create Lusha-based enrichment workflows.
- Automate searches using SerpAPI.
- Orchestrate AI-driven workflows.
- Implement Agentic AI concepts and practical applications.
- Build and deploy an end-to-end AI project.
- Gain exposure to deployment workflows.
Benefits
- 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
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What This Job Offers
Career Level
Entry Level
Education Level
No Education Listed
