Pluralit AI Solutions is launching Cohort 4 of our proven Agentic Engineering Programme (formerly AI Upskilling Tech).
Designed as an advanced upskilling investment, this programme equips your team to architect, orchestrate, and deploy deterministic enterprise AI systems across real-world international environments.
Our Proposition & The Advanced Stack
KEEP YOUR TECHNICAL DEPTH.
MASTER ENTERPRISE AI ORCHESTRATION.
We partner with you to drive true organisational capability.
Rather than replacing your tech stack or hiring from scratch, we help your engineers build directly upon your existing domain logic in software, data, QA, DevOps, or cybersecurity.
By embedding a robust enterprise agentic AI layer, we guide your team's transition into highly versatile, T-shaped professionals equipped to deliver high-impact production systems.
Benefits for
Enterprises
ELEVATE YOUR TECH TEAM.
BUILD INTERNAL AGENTIC AI EXPERTISE.
Internal Talent Upskilling: Retool your current engineering and tech specialists into Enterprise Agentic Engineers capable of architecting production-grade AI directly within your business workflows.
High Staff Retention: Retain and empower your critical engineering talent who already possess deep domain knowledge of your core business systems and operational logic.
In-House Agentic Capability: Build internal expertise in multi-agent orchestration, reducing external consultancy dependencies and insourcing critical AI software development.
Direct Access to our AI Centre of Excellence: Keep your team connected to an active network designing real enterprise AI systems daily, gaining ongoing access to tested architectural patterns and AIOps practices.
Sustainable Competitive Advantage: Drive long-term operational efficiency, maintain strict token cost management, and accelerate production deployment safely.
Key Learning Outcomes
FROM BASIC API CALLS TO PRODUCTION-GRADE MULTI-AGENT ARCHITECTURE.
The programme is intensely hands-on from day one.
Your engineering team will move past basic API wrappers and master the advanced stack and core disciplines required to deploy production-grade agentic AI for your company's real enterprise use cases.
ARCHITECT MULTI-AGENT SYSTEMS
Build scalable, complex architectures using LangGraph and securely connect with internal and external enterprise services via the Model Context Protocol (MCP).
MASTER AI ENGINEERING DISCIPLINES
Move your team far beyond standard prompting to master harness engineering, loop engineering, context engineering, and skill engineering.
ENTERPRISE DATA READINESS
Master the critical discipline of structuring, cleaning, and validating complex corporate data for seamless AI deployment using PydanticAI and OKF methodologies.
PRODUCTION & AI OPS
Monitor, evaluate, and maintain enterprise performance using LangSmith, comprehensive AIOps, state persistence, and precise Token Cost Management.
ACCELERATED DEVELOPMENT
Integrate Claude Code and advanced agentic tools to streamline and supercharge your team’s daily software engineering workflows.
MANAGE ETHICS & LIMITATIONS
Manage systemic limitations, implement robust guardrails, and address security, ethical, and regulatory implications upfront.
Access to the complete learning outcomes here
Build high-value enterprise AI capability through a flexible, high-impact programme designed around your team's delivery roadmap.
Across 12 weeks of blended learning, direct engineering mentorship, and a hands-on Agentic AI capstone project, your team will gain real-world production experience applied directly to your business backlog.
Participant
Requirements
Technical Background: Proven background in software engineering, data, QA, DevOps, or system architecture (semi-senior level or above).
Enterprise Focus: Professional commitment to building, scaling, and deploying production-grade agentic AI architectures within business environments.
Language Proficiency: Professional working proficiency in English (minimum B1 level for non-native speakers) to engage in technical workshops and documentation.
Mindset & Collaboration: An agile, team-oriented mindset accustomed to continuous delivery and collaborative software development.
Education & Experience: A STEM degree is desirable, but sufficient professional software development experience is fully recognised.
FAQs
HOW MUCH TIME DOES IT TAKE?
About 12 hours per week, i.e. similar to an online master's degree. You should agree with your participant on the expected allocation of time (personal vs work hours).
AFTER THE 7/SEP/26 COHORT, WILL THERE BE FURTHER RUNS OF THE PROGRAMME?
Yes, we plan to run 2 more instances during 2027.
HOW PRACTICAL IS THE TRAINING?
Very! From week one, participants work on hands-on labs, prompt sprints and mini-design exercises based on real-world use cases. The programme finishes with a ~50-hour capstone where your specialist builds an Agentic AI solution—typically around a challenge from your own company.
WHAT IS THE VALUE OF STAYING CONNECTED TO OUR AI CENTRE OF EXCELLENCE?
You're not just training one person once; you're plugging into an active team that designs Agentic solutions every day across multiple industries. Staying connected gives your organisation ongoing access to updated practices, patterns and lessons learned from real projects, plus a practitioner network your specialist can learn from.
WHICH TOOLS AND FRAMEWORKS WILL BE USED?
The programme is built around a modern, enterprise-grade AI stack designed to elevate your engineering team. Your specialists will master LangChain and OKF for enterprise knowledge architecture, GraphRAG for complex multi-hop reasoning, PydanticAI for structured data validation, LangGraph for multi-agent orchestration, the Model Context Protocol (MCP) for modular tool integration, and Claude Code for agentic workflows. Production operations are powered by LangSmith for tracing and evaluation, alongside enterprise model routing, state persistence, and token cost management. Everything is taught with a clear focus on enabling your team to deploy reliable, production-grade agentic AI systems within your business environment.
DOES THE PROGRAMME ALSO COVER THE ETHICAL AND SOCIAL IMPLICATIONS OF AI?
YES. Whilst very hands-on, the programme starts with a historic perspective and covers in its final section the societal and ethical implications that AI designers should be aware of and consider from the start of their designs and solutions. It also finishes with a future-looking live session on "The Future of AI", which reaffirms the responsibility of conscious designs in light of the incredible AI future ahead.
Pricing
Contact our team to discuss enrolment options for your engineering group and align the programme with your organisation's AI upskilling roadmap.
Cohort status: STARTS SEPTEMBER 2026.
Agentic Engineering Programme FEE
USD 4,000
50% initial payment before the start of the Program.
50% final payment after 60 days.
Contact us here for full terms.
Are you ready to
upskill your team?
Contact us to secure your team's spot in the upcoming cohort and build future-proof AI capabilities.
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