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Academy  β€Ί  Programs  β€Ί  Agentic AI Professional Award
15 August 2026 AI Agent Developer / Agentic AI Engineer AI Agent Developer

Agentic AI Professional Awardβ„’

Agentic AI Certification Training Program trains you to build AI agents that plan tasks, use tools, and execute end-to-end data workflows safely. You’ll learn LLM fundamentals, retrieval for schema grounding, tool-calling with SQL/Python, validation and guardrails, and production patterns like logging and evaluation. Build portfolio projects including an NL-to-SQL agent, data-quality agent, and pipeline debugging assistant.

7
weeks (Intensive)
20
per cohort
AI Agent Developer
target role
Apply Now Download Brochure 1800 434 008
Portfolio GitHub portfolio with 5+ agent projects covering...
Professional Award Shareable digital badge (Open Badge standard)
Support Mentor-led guidance during your learning journey...
Career support A clear agent-building roadmap (what to build fi...
The gap this closes

Why learners struggle with Agentic AI β€” and how we solve it

We built this program around the real gaps that stop professionals from building production-ready AI agents

Prompting β‰  Building Real Agents

Most learners know prompts, but struggle to build agents that can plan, use tools, and execute reliably.

Agentic AI foundations + real agent architecture building blocks

No Production-Grade Portfolio

Learners finish theory-heavy courses without projects that prove agent-building skills.

5+ guided portfolio projects + 20+ hands-on labs

Agents Fail in Real Environments

Even if agents work in notebooks, they break in real usage without tracing, evaluation, and monitoring.

Observability with Langfuse and LangSmith (tracing + evaluation)

Lack of Multi-Agent + Workflow Skills

Most courses don’t teach multi-agent collaboration, memory/state, or workflow orchestration.

Multi-agent systems using LangGraph + CrewAI
Curriculum@if(!empty($duration)) Β· 7 weeks@endif

Program curriculum

Live sessions, hands-on labs, and a project each week. Expand any week for detail.

WK1

Agentic AI Essentials + Agentic AI Architectures & Design Patterns

Analyze AI agent use cases Explore agentic AI frameworks Design an AI agent architecture I...
Agentic AI introduction; AI Agents vs Agentic AI Β· Agentic AI vs Generative AI vs Traditional AI Β· Building blocks; autonomous agents; human-in-the-loop systems Β· Single and multi-agent systems; frameworks overview Β· Ethical/responsible AI; best practices; success stories Β· Agentic architecture types and key components (perception, cognitive, action, learning, collaboration, security modules) Β· Patterns: reflection, tool use, planning, ReAct & ReWOO, multi-agent pattern Β· Design considerations
WK2

Working with LangChain & LCEL + Building AI Agents with LangGraph

Build a self-correcting coding assistant with LangChain Build a finance bot with LangGraph
Document loaders, ingestion, text splitting, embeddings, vector DB integration Β· LCEL: runnables, chains; build/deploy with LCEL; deploy with LangServe Β· LangGraph basics, state and memory
WK3

Implementing Agentic RAG + Agentic RAG Variants + LlamaIndex & Cohere

AI-powered sales report analyzer with LlamaIndex Market research agent with RAG & Cohere
Agentic RAG vs traditional RAG; architecture/components; adaptive RAG Β· State schema/reducer; message trimming/filtering Β· Memory + external memory; HITL UX; long-term memory; deployment Β· Variants and applications of agentic RAG Β· Agentic RAG with LlamaIndex and Cohere
WK4

Developing AI Agents with Phidata + Multi-Agent Systems with LangGraph & CrewAI

Design a data analysis agent with Phidata Customer support chatbot with LangGraph Stock an...
Agents, models, tools, knowledge, chunking, vector DB, storage, embeddings, workflows Β· Multi-agent systems/workflows; collaborative multi-agents; workflow design Β· CrewAI intro, components, environment setup, building agents
WK5

Advanced Agent Development with AutoGen + AI Agent Observability & AgentOps

Develop an AI research agent with AutoGen AI observability with LangSmith AgentOps practic...
Roles & conversations, termination, human-in-the-loop, code executor, tool use Β· Conversation patterns; development, deployment, monitoring Β· Langfuse overview, dashboard, tracing Β· LangSmith: setup, evaluation, prompt management, experimentation, workflow management Β· AgentOps practical implementation
WK6

Building AI Agents with No/Low-Code Tools

Content writer agent in Wordware Design your SEO agent with Relevance AI Create an AI agen...
No/low-code AI fundamentals: benefits/challenges, platform components Β· Build workflows without coding; drag-and-drop agent design Β· Integration, customization/fine-tuning
Everything included

Become an β€œAgentic AI-Ready Professional” β€” Fast

Our participants walk away with:

1-on-1 Mentorship

Personal guidance from experienced mentors to help you plan your learning path, review agent designs, and improve project quality.

Live Office Hours & Community

Weekly office hours for doubt-clearing and live debugging, plus an active learner community so you’re never stuck alone.

Real-World Agent Toolkits

Work hands-on with modern agent frameworks and observability tools used in real teamsβ€”LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Langfuse, LangSmith, and more.

Career Launch Services

Support for resume/LinkedIn positioning, portfolio presentation, interview preparation, and role targeting for Agentic AI and LLM application roles.

Live Instructor-Led Session

Interactive sessions led by experts covering agent foundations, architectures, multi-agent workflows, and real-world implementation patterns.

Hands-On Labs

Practice with guided labs across the full agent lifecycleβ€”tool use, memory/state, agentic RAG, multi-agent collaboration, and deployment workflows.

Professional Award
Professional Award
The credential

Professional Award

Earn an industry-recognized credential and a digital badge you can add to your LinkedIn within minutes of completion.

  • Shareable digital badge (Open Badge standard)
  • One-click verification for recruiters and hiring managers
  • Certificate ID & QR for resumes and portfolios
Graduate stories

Voices From Our Alumni Network

Powerful success stories that reflect the value, growth, and real-world outcomes of their journey with us.

David Silverman
Video testimonial
David Silverman Β· CEO, Quality People
β€œThe Agentic AI Professional Award finally connected AI buzzwords to real business value. I walked away with a clear strategy, an operating model, and the confidence to lead AI discussions with our exec team.”
David Silverman CEO, Quality People
1 / 3
Apply Now
Investment

One all-inclusive price. Flexible ways to pay.

USD $899.00 USD
  • Live instructor-led sessions + guided learning path
  • Hands-on labs and real-world agent builds
  • 5+ portfolio projects + capstone architecture guidance
  • Access to modern agent frameworks and observability/AgentOps practices
  • Mentorship support and project feedback
  • Certificate / digital credential on successful completion
Payment When Amount
1 Week 1 USD $2,749.45
2 Week 2 USD $1,374.73
3 Week 3 USD $1,374.73

Scholarships & flexibility

  • Limited scholarships for non-profits, public sector, and startups
  • Group discounts for executive teams and in-house cohorts
  • Flexible invoicing and split-payment options

Included support

  • Mentor-led guidance during your learning journey (doubt clearing + project direction)
  • Weekly office hours for Q&A, debugging, and architecture reviews
  • Code & project reviews with practical feedback to improve quality and reliability
  • Portfolio support (GitHub readiness, documentation, demo preparation)
How enrolment works

Enrol in three steps

1

Choose your cohort

Pick an upcoming start date that fits your schedule.

2

Select payment

Pay in full or use an available payment plan at checkout.

3

Start learning

Get access details and join your cohort orientation.

Apply Now Download Brochure
Return on investment

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GIofAI Programs

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For illustration purposes only β€” not financial advice.
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Talk to a GIofAI advisor
FAQ

Questions, answered

Who is this course for?
This program is ideal for developers, data/ML professionals, and tech teams who want to build real-world AI agents (single-agent and multi-agent) and deploy them with best practices.
Do I need prior AI/ML experience?
Basic programming understanding helps, but you don’t need deep ML. The course starts from Agentic AI fundamentals and moves step-by-step into frameworks, workflows, and deployment.
What will I build during the course?
You’ll build multiple agent systems including coding assistants, finance bots, RAG-based research/sales agents, multi-agent workflows, and no/low-code agentsβ€”plus a capstone-style architecture portfolio.
Which tools and frameworks will I learn?
You’ll work with LangChain, LangGraph, LangServe, LlamaIndex, Cohere, Phidata, CrewAI, AutoGen, and observability tools like Langfuse and LangSmith, along with no/low-code platforms like Langflow.
Will I learn AgentOps and monitoring for agents?
Yes. You’ll learn how to trace, evaluate, and improve agents using observability and AgentOps practices so they run reliably in real environments.
Is this course job-focused? What roles does it support?
Yes. The curriculum and projects are designed to make you job-ready for roles like AI Agent Developer, Agentic AI Engineer, LLM Application Engineer, RAG Engineer, AI Automation Engineer, and AgentOps/LLM Observability Engineer.

Launch your career this cohort.

Agentic AI Certification Training Program trains you to build AI agents that plan tasks, use tools, and execute end-to-end data workflows sa...

Start Application Download Brochure
Call 1800 434 008 Β· Email info@glofai.com.au