Overview Delivers the end-to-end execution of an on-site, 100% hands-on upskilling program in Autonomous Agentic AI and the Model Context Protocol for a cohort of 25 experienced software developers, systems engineers, and database administrators. Acts as the lead technical instructor and architect on the ground in Thimphu, owning curriculum customization, the cloud sandbox environment, daily lab delivery, hackathon mentoring, and the competency assessment handed over to the GovTech PMO. A minimum of two senior, certified technical AI architects are deployed for the full program.

Customize a pre-approved 3-week curriculum to target experienced software developers, systems engineers, and database administrators, bypassing basic coding syntax.
Ensure a 100% hands-on focus on Streamlit, collaborative Git branching, multi-agent portfolios, custom MCP servers, containerization, and production MLOps.
Facilitate the daily lab cycle (1 hr concept, 1 hr demonstration, 1 hr practical, 5 hrs mentored building) and run on-site code reviews.
Configure and manage secure, team-isolated cloud sandboxes containing AWS or Google Vertex AI credits.
Ensure all collaborative repositories, Docker containers, database endpoints, and LLM API connections are pre-configured, tested, and active before Day 1.
Deliver and apply standardized evaluation rubrics assessing agent containment, secure database integration via MCP, latency, and human-in-the-loop override controls.
Deliver a final, individualized Skills Registry to the GovTech PMO for project-matching of certified personnel.
On-site hands-on instruction,



mentored building, and code reviews
Autonomous agentic AI architectures and custom MCP server development
Cloud sandbox provisioning, containerization, and production MLOps
AWS Certified Machine Learning Specialty, Google Cloud Skilled Cloud Architect, or equivalent.
Documented experience deploying agentic systems or standardizing MCP server integrations.
Depth of technical expertise across advanced Python, multi-agent frameworks (LangChain/LlamaIndex), and MCP open-source server design.
Direct understanding of commercial MLOps lifecycles, database gateway patterns, and security auditing requirements.
Demonstrated ability to lead interactive live coding demonstrations, troubleshoot containerized environments, and debug Git merges.
Articulation, active listening, structured explanation of complex software concepts, and English language proficiency.
Precision in defining, explaining, and tracking training deliverables, daily lab goals, and milestone expectations.
On-site in Thimphu, Bhutan, with no remote delivery, or must be available to relocate to Thimphu, Bhutan, for the duration of the engagement.
Full physical presence for the entire duration, including the concluding 3-day hackathon
Duration: 3 weeks / 15 days, 100–120 contact hours (Option 2: Full On-Site Residency). Option 1 is a 5-day high-intensity sprint; Commitment: 8 hours of structured daily delivery (1 hr concept + 1 hr demonstration + 1 hr practical + 5 hrs mentored building), plus pre-Day 1 syllabus approval, baseline skills assessment, and sandbox provisioning.

📌 Full Time Lead Instructors (Delhi)
🏢 Omdena
📍 Delhi