Live instructor-led training from Python basics to production multi-agent systems — 20 intensive sessions, portfolio-ready builds.
⏱Duration: 20 sessions / 80 hrs
💻Format: Live Online · Teams
🌐Delivery: Classroom · Virtual · Hybrid
✅Pass rate: 94%
📅Next intake: 16 Nov 2026
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20 live sessions
80 hours · 7 weeks · Mon · Wed · Fri · 6pm–10pm
💻
Live Online · Teams
Build alongside the instructor — no passive watching
🛠
Python → production
RAG, agents, LangGraph, FastAPI, Streamlit
🎓
Certificate + portfolio
Deployed multi-agent capstone you can show employers
Professional Agentic AI Engineering
Build AI, not just use it.
This is Nexperts Academy’s Professional Agentic AI Engineering programme in Malaysia — live instructor-led training from Python foundations through production multi-agent systems. Over 20 intensive sessions (80 hours across 7 weeks) you build portfolio-ready projects with LangChain, LangGraph, CrewAI, AutoGen, Azure AI and more.
Cohort 5 (26 Oct – 11 Dec 2026) is full. Cohort 6 runs 16 Nov 2026 – 2 Jan 2027 (Mon, Wed, Fri · 6pm–10pm · 7 weeks) on Microsoft Teams. 100 seats only. Market value RM 12,000+ — current promotional price RM 799.
Every session is 4 hours of live, hands-on training — you build with the instructor. Leave with a deployed multi-agent system, a production RAG pipeline, fluency across 5+ AI frameworks, and a Nexperts Academy Professional Certificate in Agentic AI Engineering.
Programme Objectives
10 things you will be able to do when you finish — not theory goals. Actual skills you can demonstrate on Day 1 after you leave.
✓ Build multi-agent AI systems where specialised agents collaborate to solve complex, real-world tasks autonomously
✓ Design and implement end-to-end RAG pipelines — from document ingestion to production-grade retrieval and generation
✓ Develop production-ready LLM applications using LangChain, LangGraph, CrewAI, AutoGen and Azure AI platforms
✓ Integrate AI agents with external tools, APIs, databases and real-time data sources via MCP and function calling
✓ Implement short-term and long-term memory in agents and orchestrate multi-agent workflows using LangGraph state machines
✓ Evaluate and debug AI agent systems using LangSmith tracing, LLM-as-a-judge, hallucination detection and guardrails
✓ Optimise AI systems for latency, cost and performance — caching, retrieval tuning, model selection strategy
✓ Deploy and monitor scalable AI applications with FastAPI, Streamlit, Hugging Face and observability tools
✓ Build safe, responsible AI systems with guardrails, privacy controls and ethical governance frameworks
What You Walk Away With
Real outcomes — not just a certificate. By the end of 80 hours, here’s exactly what you’ll have built and can demonstrate.
01 — Deployed Multi-Agent AI Financial Advisor
✓ Production-grade system with 5 specialised agents (Data, Analysis, Risk, Advisory, QA) orchestrated via LangGraph, deployed on FastAPI with Streamlit UI — goes directly into your portfolio.
02 — End-to-End RAG Pipeline You Built and Evaluated
✓ Production RAG with hybrid search, cross-encoder reranking, query rewriting, metadata filtering and RAGAS evaluation — built from scratch so you know why every component exists.
03 — Hands-on Fluency in 5+ AI Frameworks
✓ LangChain, LangGraph, CrewAI, AutoGen, Flowise — real projects with each, not just demos. You’ll know when to use which framework and why.
04 — Production-Grade Skills Most Tutorials Skip
✓ Evaluation, observability, guardrails, cost optimisation, latency tuning, deployment and monitoring — what separates hobbyists from engineers.
05 — Professional Certificate of Completion
✓ Upon successful completion of the 20-session programme and capstone evaluation, you receive a Nexperts Academy Professional Certificate in Agentic AI Engineering.
06 — Lifetime Access to Materials & Community
✓ Slides, notebooks, recordings and our private alumni community — stay connected with peers and instructors after the cohort ends.
Software developers, IT professionals or data analysts wanting to specialise in AI engineering.
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Graduates & switchers
Fresh graduates or career switchers with basic programming who want to enter AI.
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Owners & tech leads
Business owners or technical leads who want to build AI systems for their organisation.
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Beyond YouTube
You’ve tried AI tutorials but want structured, deep, hands-on live instruction.
📅
Full presence
You can commit to Mon, Wed, Fri · 6pm–10pm · 7 weeks — no excuses.
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Portfolio outcome
You want a portfolio-ready, deployed AI system — not just a certificate.
Look elsewhere if
This programme is a rigorous intensive — not a casual course.
✓ You want passive video content you can watch whenever you feel like it
✓ You can’t commit to all live sessions (Mon, Wed, Fri, 6pm–10pm)
✓ You expect to learn without doing — every session requires you to build, not just listen
✓ You have zero interest in writing any code — some Python is involved and required
Prerequisites
✓ Basic programming comfort (variables, loops, functions) — we start with Python foundations
✓ Laptop suitable for coding; stable internet for Microsoft Teams
✓ Commitment to all live sessions: Mon · Wed · Fri · 6pm–10pm for 7 weeks
→ Ask enrolment for a free readiness check before joining Cohort 6.
The Curriculum
20 sessions. 80 hours. From Python to production.
Cohort 5 (26 Oct – 11 Dec 2026) is full. Cohort 6: 16 Nov 2026 – 2 Jan 2027 (Mon, Wed, Fri · 6pm–10pm · 7 weeks). 100 seats only. Each session is 4 hours of live, hands-on training on Microsoft Teams — you build alongside the instructor.
Hands-on Builds
Portfolio-ready. Deployed.
You don’t watch demos — you ship artefacts: RAG pipelines, multi-agent systems and a capstone Financial Advisor.
01
Python → API pipeline
Prompt formatter, live API calls, mini AI pipeline.
Foundations
02
Production RAG
Hybrid retrieval, caching, RAGAS evaluation.
RAG
03
Travel planner agents
7-agent multi-modal case study on Azure + CrewAI.
Agents
04
LangGraph orchestration
Router → Planner → Research → Synthesis.
Orchestration
05
Financial Advisor capstone
5-agent system on FastAPI + Streamlit.
Capstone
+ Lifetime access to slides, notebooks, recordings and alumni community after the cohort.
Assessment
Capstone evaluation. Certificate awarded.
Passing requires a working multi-agent system, deployment, evaluation against production criteria and a live presentation.
Capstone rubric
BuildAI Financial Advisor with 5 specialised agents
QualityEvaluation, guardrails and observability in place
PassingCertificate issued
ResitCoached revision before next presentation window
How we keep you production-ready
01
Mid-cohort checkpoint
RAG + agent labs reviewed with mentor feedback.
02
Capstone dry-run
Peer critique before final deploy.
03
Live graduate showcase
Present, defend and earn the certificate.
0%
Pass Rate
94% complete the cohort with mentor support.
Live attendance, hands-on builds and a defended capstone — agents that work beyond demos.
20 sessionsLangGraphRAGCapstoneCertificate
Why our pass rate is 94%
Passive video courses
No live builds, weak portfolio proof.
Nexperts
Live Teams intensives + deployed multi-agent capstone.
Your agentic path
From foundations to production agents.
This programme starts from Python basics and ends in deployed multi-agent systems. Pair with cloud AI certifications when you want vendor credentials next.
