CoursesAzure AI & Cloud ML Engineering
Intermediate to Advanced
Azure AI & Cloud ML Engineering
Integrate enterprise AI services and Large Language Models.
Deploy Azure OpenAI Service, Cognitive Search vector databases, RAG architectures, Azure AI Studio, and MLOps pipelines.
Duration: 6 Weeks
Format: Interactive Engineering Cohort
Aligned: Microsoft Certified: Azure AI Engineer Associate (AI-102)
Enrollment & Syllabus Request
Speak with an instructor to receive the complete syllabus breakdown.
Request Syllabus on WhatsAppThis Course May NOT Be Right For You If:
- You have zero programming/Python experience.
Course Prerequisites
Required:
- • Basic Python programming knowledge
Recommended:
- • Azure fundamentals
Not Required:
- • Deep PhD-level machine learning math
Comprehensive Syllabus
What You'll Learn
1
Azure AI & Generative AI Fundamentals
- Azure AI Services ecosystem
- Azure OpenAI Service provisioning & API keys
- GPT-4 & Embeddings models overview
2
Enterprise RAG (Retrieval-Augmented Generation)
- Azure AI Search vector indexing
- Document chunking & embedding generation
- RAG pattern implementation with Python & LangChain
3
Responsible AI & MLOps
- Content safety filters & prompt guardrails
- Azure Machine Learning pipeline automation
Hands-On Engineering Labs
What You'll Build
Enterprise Knowledge Base Chatbot using RAG
Generative AI on corporate documentation
Build a secure corporate document Q&A application indexing PDF/Word manuals into vector search and serving accurate answers via Azure OpenAI.
Azure OpenAIAzure AI SearchVector IndexPythonApp Service
Exam Preparation Alignment
Target Certifications
- Microsoft Certified: Azure AI Engineer Associate (AI-102)
Upcoming Batches for Azure AI & Cloud ML Engineering
New weekend batch schedule releasing soon. Inquire for early reservation.