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TSO/ISPF, JCL and VSAM
PL/1 Programming
COBOL Programming
IMS DB Programming
DB2 Programming
CICS Programming
ASSEMBLER Programming Basic
ASSEMBLER Programming Advanced
REXX Programming
z/OS Architecture, JES ..more
IPL, CATALOG,JES Basics
PARMLIB, SMF AND RMF
RACF, Console and Spool Monitoring
DB2 Administration
CICS Administration
Storage Administration
Network Administration
MQ Administration
IMS DB Administration
CA7
Messaging & Collaboration AND Networking Essentials
Windows 10 and Windows Server 2016
Automation and Analytics Tools
Core Database, Storage & Backup Concepts
LINUX with Power Shell Scripting
VM Ware, Hyper V with Middle Ware Concepts
DevOps Fundamentals
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DevOps Advanced Module
Ethical Hacking Concepts
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Statistical Method
Tableau
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AZ-900
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Microsoft Azure - AI Fundamentals - AZ-900
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AI-Artificial Intelligence
Microsoft Azure - AI Fundamentals - AZ-900
Microsoft Azure - AI Fundamentals - AZ-900
Duration in Hours : 20
Duration in Days: 10
AZURE AI
Course Code: AZAIFND-900
10 Hours of Theory
10 Hours of Lab
Azure AI Essentials: Vision and Recognition
AI services on the Azure platform Create Azure AI service resources Use Azure AI services Authentication for Azure AI services Image processing
Machine learning for computer vision Azure AI Vision
Understand Face analysis Face analysis on Azure
Essentials of Language Service: OCR, Text Analysis and Question Answering
Azure AI Vision
Vision Studio on Azure
Get started with text analysis Question answering
Language service and Azure Bot Service
Conversational and Document Intelligence with Azure AI
Conversational language Conversational language in Azure Speech recognition and synthesis Speech on Azure
Explore capabilities of document intelligence Receipt analysis on Azure
Hands-on:
Use Conversational Language understanding with Language Studio Explore Speech Studio
Extract from data in Document Intelligence Studio.
Skills You will Learn
Using Azure Language Studio for conversational understanding Extracting data
Exploring Knowledge Mining, Azure AI Search, and Generative AI Basics
Azure AI Search
Identify elements of a search solution. Skillset to define an enrichment pipeline Indexes
Use an indexer to build an index
Persist enriched data in a knowledge store Create an index in the Azure portal
Query data in an Azure AI Search index Generative AI
Large language models Copilots
Improve generative AI responses with prompt engineering
Azure OpenAI Service and Responsible Generative AI Basics
Azure OpenAI
OpenAI’s natural language capabilities OpenAI code generation capabilities OpenAI’s image-generation capabilities
Describe Azure OpenAI’s access and responsible AI policies Plan a responsible generative AI solution
Identify potential harms Measure potential harms Mitigate potential harms
Operate a responsible generative AI solution
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