Agentic AI Professional Award™
Build AI agents that plan tasks, use tools, and execute end-to-end workflows safely. Learn LLM fundamentals, agent architecture, retrieval, tool-calling, validation, guardrails, observability, and multi-agent orchestration through live sessions, practical labs, and portfolio projects.
Move beyond prompting and learn to build real AI agents
This program is designed for developers, data and machine-learning professionals, and technology teams who want to create reliable single-agent and multi-agent systems. You will learn architecture, memory, planning, tool use, Agentic RAG, observability, evaluation, and deployment patterns used in practical AI applications.
What you will walk away with
- Design agent architectures with planning, tools, state, memory, human-in-the-loop controls, and responsible-AI safeguards.
- Build with LangChain, LangGraph, LlamaIndex, Cohere, Phidata, CrewAI, AutoGen, and no/low-code platforms.
- Implement Agentic RAG, adaptive retrieval, external memory, collaborative multi-agent workflows, and tool integrations.
- Trace, evaluate, monitor, and improve agents using Langfuse, LangSmith, and AgentOps practices.
Who this program is for
Build a practical portfolio aligned with roles such as AI Agent Developer, Agentic AI Engineer, LLM Application Engineer, RAG Engineer, AI Automation Engineer, and AgentOps or LLM Observability Engineer.
- Live Instructor-Led
- Mentor Support
- Portfolio Reviews
- Career Guidance
Built around the real barriers to production-ready Agentic AI
Prompting is not agent building
Move from simple prompts to planning, tool use, memory, control flow, and robust architecture.
No production-grade portfolio
Build 5+ guided agent projects and complete 20+ practical labs based on realistic use cases.
Agents fail in real environments
Learn tracing, evaluation, monitoring, observability, and AgentOps for dependable systems.
Limited orchestration experience
Create single-agent, collaborative multi-agent, memory-driven, and workflow-based solutions.
Six core modules delivered across a seven-week intensive pathway
Live sessions, hands-on labs, and a practical project are integrated throughout the program, with capstone and portfolio finalisation built into the intensive learning pathway.
Agentic AI Essentials, Architectures & Design Patterns
AI Agents versus Agentic AI, autonomous and human-in-the-loop systems, single and multi-agent architectures, responsible AI, key components, reflection, planning, tool use, ReAct, ReWOO, and design considerations.
LangChain, LCEL & LangGraph
Document ingestion, chunking, embeddings, vector databases, LCEL runnables and chains, LangServe deployment, LangGraph state, memory, and self-correcting workflows.
Agentic RAG, LlamaIndex & Cohere
Agentic RAG versus traditional RAG, adaptive RAG, state schemas, reducers, message handling, external and long-term memory, human-in-the-loop UX, LlamaIndex, and Cohere.
Phidata, LangGraph Multi-Agent Systems & CrewAI
Agents, models, tools, knowledge, chunking, storage, embeddings, collaborative workflows, multi-agent design, CrewAI components, setup, and implementation.
AutoGen, Observability & AgentOps
Roles and conversations, termination, human-in-the-loop controls, code execution, monitoring, Langfuse tracing, LangSmith evaluation, prompt management, experimentation, and practical AgentOps.
No-Code and Low-Code AI Agents
No/low-code fundamentals, drag-and-drop agent workflows, platform components, integration, customisation, and practical solutions using tools such as Wordware, Relevance AI, and Langflow.
Build a portfolio that proves practical Agentic AI capability
Capstone deliverables
- Coding assistants, finance bots, research agents, sales-report analysers, data-analysis agents, and customer-support workflows.
- GitHub-ready code, architecture diagrams, documentation, evaluation plans, and demo-ready project walkthroughs.
- Capstone-style architecture combining tools, memory, control flow, retrieval, multi-agent collaboration, and observability.
How the capstone is assessed
Become AI-ready —fast
Mentorship & advisory
Receive dedicated feedback and guidance on your practical coursework, strategy, and project roadmaps from industry experts.
Interactive Strategy Labs
Participate in hands-on workshops designed to translate core concepts into actionable strategies for your organization or portfolio.
Applied Real-World Projects
Build a tangible portfolio of work by applying framework solutions to real business problems or case studies.
Community & support
Use live office hours, peer discussion, facilitator feedback and reusable templates throughout the program.
Professional recognition for applied AI
leadership
Professional Award + digital credential
Successful participants receive a co-certified professional award that recognises their ability to connect AI strategy, governance, operating models and organisational change.
- Shareable digital badge using the Open Badge standard.
- One-click verification for recruiters, employers and stakeholders.
- Certificate ID and QR verification for resumes and portfolios.
- Recognition of the strategy, use-case portfolio and capstone roadmap.
Voices from the alumni
network
Leadership outcomes shared by professionals who used the program to move from AI discussion to practical organisational action.
The program translated AI concepts into real business value and helped shape a clear strategy, operating model and stronger confidence for executive-level AI conversations.
The combination of leadership frameworks, business cases and the capstone made it possible to develop a practical AI roadmap without turning the experience into a coding course.
The structured approach helped clarify where to begin, how to select high-impact use cases, manage risk and prepare teams for AI-driven organisational change.
Questions, answered
You'll gain high-demand, practical skills and walk away with a verified credential and a portfolio-ready capstone project that demonstrates immediate value to employers and stakeholders.
No prior technical experience is required unless specified in the course details. The program focuses on practical application, strategic understanding, and decision-making frameworks that allow learners from all backgrounds to thrive.
Yes. Learners who successfully complete the required learning and project outcomes receive the co-certified professional award, with certificate identification and verification features.
Plan for approximately 6–8 hours per week, including live sessions, playbooks, case studies and applied work on your own organisation's use cases and capstone.
Yes. The assignments and capstone project are designed to be customizable. You can choose to work on real-world challenges from your current role or apply the frameworks to curated case studies provided during the program.
You receive facilitator guidance, Q&A, feedback on your strategy and capstone, live leadership labs, community support and ongoing access to reusable materials and templates.
Elevate your career. Drive value. Shape the future.
Explore full program details, download the curriculum guide, or connect with our admissions team for enrolment guidance.