Blended Learning • 8 Weeks • 320 Hours4.95 / 5Reviews

Agentic AI Development Program (Azure AI-102 Aligned)

A specialised, industry-led program designed to train future-ready AI engineers in Agentic AI development, RAG engineering, Azure AI services, LangGraph, MCP, and multi-agent orchestration. Learners build cloud-ready AI systems, private RAG pipelines, agentic workflows, Azure-based intelligent applications, and complete hands-on assessments aligned with the Microsoft AI-102 certification. This 320-hour blended program equips participants with job-ready capabilities demanded in modern AI engineering roles.

  • ✅320 hours of instructor-led training, hands-on labs & guided project work
  • ✅Structured pathway: Infrastructure → RAG → Agents → Azure AI
  • ✅End-to-end training in private RAG, agentic AI workflows, and Azure services
  • ✅Real-world practical assessments (written + hands-on)
  • ✅Career pathways into AI engineering, RAG engineering and automation
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Agentic AI Development Program (Azure AI-102 Aligned)

Start your journey today

8 weeks • 320 hours

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Course Overview

A specialised, industry-led program designed to train future-ready AI engineers in Agentic AI development, RAG engineering, Azure AI services, LangGraph, MCP, and multi-agent orchestration. Learners build cloud-ready AI systems, private RAG pipelines, agentic workflows, Azure-based intelligent applications, and complete hands-on assessments aligned with the Microsoft AI-102 certification. This 320-hour blended program equips participants with job-ready capabilities demanded in modern AI engineering roles.

Course Syllabus

M1: Infrastructure & Cloud Foundations

Learners gain the foundational cloud, Linux, scripting, networking and database skills required to operate and deploy AI workloads on cloud environments. Includes AI-assisted infrastructure workflows.

Linux operations & system administrationNetworking (IP, DNS, routing, firewalls)Cloud VPC architecture & deployment basicsShell scripting for automationSQL (MySQL) and NoSQL (MongoDB) CRUD operationsWeb server deployment & DNS configurationAI-assisted infrastructure operations

M2: Private RAG Foundations

Learners build private/local RAG systems using Ollama, embeddings, Qdrant, and Streamlit UI. Includes hands-on ingestion, chunking, retrieval, evaluation and RAG prompt design.

Prompt engineering fundamentalsLLM retrieval workflows (retriever + vector DB + generator)Local LLM execution with OllamaEmbeddings using NomicVector database operations with QdrantText chunking & ingestion pipelinesRAG prompts, citations & evaluationBuilding Streamlit chat UI

M3: Agentic AI Foundations

Learners build multi-agent AI systems using LangGraph, MCP tools, no-code automation, voice agents and workflow orchestrations.

Planner–Executor–Supervisor agent patternsMulti-agent workflowsLangGraph fundamentalsMCP tools (DB, utilities, SQL)NLP → SQL → DB agent flowsMulti-agent pipelines (fallback, PDF, email workflows)Docker for agent deploymentNo-code automation with n8nRAG-based and voice-enabled agents (Retell AI)

M4: Azure AI Engineer Mastery (AI-102)

Comprehensive preparation for the Microsoft AI-102 Azure AI Engineer Associate certification. Learners build enterprise-grade Azure AI applications, RAG pipelines, bots, and multimodal solutions.

Azure AI ecosystem & Responsible AIAzure resource creation & securityComputer Vision (OCR, image analysis, face detection)NLP (text analytics, translation, CLU, QnA)Speech AI (TTS, STT)Azure OpenAI (GPT models & prompt engineering)RAG on Azure AI SearchDocument Intelligence (Form Recognizer)Semantic Kernel multi-agent orchestrationMonitoring, deployment & containerization

Why This Bootcamp?

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End-to-End Agentic AI Training

Covers private RAG, multi-agent AI, LangGraph + MCP, Azure AI, and AI-102 certification readiness.

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Real-World Hands-On Learning

Includes guided labs, practical assessments, real-world builds, and multi-agent project workflows.

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Industry-Led & Globally Aligned

Built using Garranto Academy’s Train-and-Place model with global certification pathways.

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Career-Focused Outcomes

Prepares learners for in-demand AI engineering roles aligned to Azure, RAG, and Agentic AI.

Fees & Schedule

8-Week Intensive AI Engineering Program

SGD 8,500

Duration: 8 weeks (full-time)

Format: Instructor-led + hands-on labs + consulting-style project work

Mode: Blended (virtual & in-person)

What's Included

  • 320 hours of structured learning
  • Instructor-led sessions & guided labs
  • Hands-on multi-agent assessments
  • Azure AI project templates & lab environments
  • Capstone multi-agent/RAG project
  • AI-102 certification preparation materials
  • Career coaching & job readiness support

How to Apply

1

Submit online application

2

Meet minimum prerequisites (basic computer literacy)

3

Interview or advisory session

4

Enrollment confirmation & fee arrangement

5

Pre-course onboarding

6

Program kick-off

Ready to Start?

Join our next cohort and launch your career in data science and machine learning. No prior experience required.

Our Instructors

Garranto Academy Expert Instructors

AI, Cloud & Agentic Systems Trainers

Industry practitioners with experience delivering AI, cloud, and digital transformation programs globally.

Azure AI & AI-102 CertificationRAG Engineering & Vector DatabasesLangGraph, MCP & Multi-Agent SystemsCloud Infrastructure & DevOps

Frequently Asked Questions

What are the prerequisites for this bootcamp?
No particular prerequisites. Knowledge of business domains and data analysis is helpful.
What is the course duration and schedule?
This is an 8-week program with 80 hours of training. Classes run Monday-Friday with 2 hours daily.
What certification will I receive?
Prepares you for the GSDC Certified Data Science Professional (CDSP).
What job roles can I pursue after completion?
Data Scientist, ML Engineer, Data Analyst, BI Analyst, Data Engineer, NLP Engineer, etc.
Is there career support provided?
Yes: interview prep, resume building and job placement assistance.

Build Your Career in Agentic AI & Azure AI Engineering

This program prepares learners for AI-102 Azure AI Engineer certification and equips them with hands-on skills in RAG engineering, Agentic AI development, Azure AI applications, and multi-agent architectures.

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High-Demand Career Paths

Start your journey with solid grounding in Python, SQL, machine learning, and data visualization.

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Azure AI Engineer / Azure AI Solutions Developer
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AI Developer (Junior / Associate)
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RAG Engineer / AI Search Engineer
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Agentic AI Developer (LangGraph / MCP)
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AI Automation Engineer
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Cognitive Services Developer
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Conversational AI Developer
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AI Integration Engineer
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Machine Learning & NLP Developer (Entry-Level)

These roles reflect industry hiring trends for Azure AI engineers, RAG specialists, and agentic AI workflow developers.

Ready to Transform Your Career?

Join our Data Science and Machine Learning Bootcamp and acquire the skills in demand by major employers.

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Explore Bootcamp Details

Find out more about curriculum and modules.

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Data Science Fundamentals

Learn fundamentals of data analysis.

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Talk to Our Team

Have questions? Schedule a call.

Book a Free Consultation
!