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Mulesoft New Batch will Start Soon
#mulesoft #ai #newbatch #startssoon #newfeatures
whatsapp group link: join to know more details
https://chat.whatsapp.com/F0rJLufdVaZHu3TUDvxfr5?mode=ems_copy_t
**Fee Details**
Hello Everyone , Thanks for joining this group. please find below details
✅ Start Date: 11th September 2025
✅ Duration: 35 Days
✅ Fee: ₹12,000 INR
✅ Timings : 10:00 am IST to 11:00 am IST
✅ Days: Mon- Fri
✅ Demo Classes: Not provided (we already have plenty of videos on our channel to understand the teaching style).
✅ Detailed Course Content: Will be shared within 2 days.
🗓️ Important:
Those who wish to join must complete the fee payment on or before Friday, 1st SEP 2025 to confirm their seat
**** COURSE CONTENT ****
*Phase 1: Fundamentals & Setup (Days 1–6)*
Introduction to MuleSoft & Anypoint Platform – Overview, creating trial account, platform features
System Setup – Java, Maven, Studio installation, environment setup
Studio Walkthrough & First Flow – Hello Mule application, platform connection
API Design Basics – RAML, URI vs Query params, mock APIs
API Discoverability – Adding APIs to Exchange, API portals
RAML Fragments & Demo
---
*Phase 2: Development Core (Days 7–14)*
Mule Message Structure, Flows & Subflows
Core Components – Logger, Set Payload, Variables, Validation, Scheduler
Routers – Choice, Scatter-Gather, Round Robin
Scopes – ForEach, Parallel ForEach, Until Successful, Catch
Connectors I – HTTP, HTTPS, Database
Connectors II – File, FTP/SFTP, Web Service Consumer
Connectors III – VM, JMS, Salesforce, AWS
Scheduler Endpoint + Real-time Integration Use Case
---
*Phase 3: DataWeave & Error Handling (Days 15–20)*
DataWeave Fundamentals – MEL, expressions, variables
DataWeave Advanced I – XML ↔ JSON, CSV transformations
DataWeave Advanced II – Operators, functions, coercion
Error Handling I – Exception types, try-catch, On Error Propagate
Error Handling II – On Error Continue, Raise Error, practical scenarios
Debugging & Best Practices
---
*Phase 4: API-Led Connectivity & Deployment (Days 21–26)*
API-Led Layers (System, Process, Experience) – Use case demo
Securing APIs – Properties encryption, masking, applying policies
Anypoint Exchange – Publishing & exploring assets
API Manager – Basic endpoint, proxy, policies, Auto Discovery
Deployment I – CloudHub 1.0, Studio, Maven
Deployment II – CloudHub 2.0, CI/CD pipelines with Jenkins
---
*Phase 5: Advanced Features (Days 27–32)*
Architecture Design – CloudHub Runtime, Hybrid, On-Premise
Administration – Users, groups, business groups
Object Store – v1 vs v2, connector, real-time use case
Batch Processing – Batch job lifecycle, aggregator component
MUnit I – Basics, creating test suites
---
*Phase 6: MuleSoft with AI (Days 33–40)*
Introduction to AI in MuleSoft – Why AI + MuleSoft, real-world relevance
AI Chain Connector – Chat Prompt, Sentiment Analysis, Image Gen use cases
Inference Connector – AI workflows, document classification, entity extraction
MCP Support (Model Context Protocol) – Connecting LLMs & MCP adapters
Agentforce Connector – Building intelligent Salesforce service agents
Einstein for Spec & DataWeave – Auto RAML generation, AI-powered DW scripts
Topic Center & Agent Governance – AI Agent lifecycle, governance, monitoring
Видео Mulesoft New Batch will Start Soon канала KLART Technologies
whatsapp group link: join to know more details
https://chat.whatsapp.com/F0rJLufdVaZHu3TUDvxfr5?mode=ems_copy_t
**Fee Details**
Hello Everyone , Thanks for joining this group. please find below details
✅ Start Date: 11th September 2025
✅ Duration: 35 Days
✅ Fee: ₹12,000 INR
✅ Timings : 10:00 am IST to 11:00 am IST
✅ Days: Mon- Fri
✅ Demo Classes: Not provided (we already have plenty of videos on our channel to understand the teaching style).
✅ Detailed Course Content: Will be shared within 2 days.
🗓️ Important:
Those who wish to join must complete the fee payment on or before Friday, 1st SEP 2025 to confirm their seat
**** COURSE CONTENT ****
*Phase 1: Fundamentals & Setup (Days 1–6)*
Introduction to MuleSoft & Anypoint Platform – Overview, creating trial account, platform features
System Setup – Java, Maven, Studio installation, environment setup
Studio Walkthrough & First Flow – Hello Mule application, platform connection
API Design Basics – RAML, URI vs Query params, mock APIs
API Discoverability – Adding APIs to Exchange, API portals
RAML Fragments & Demo
---
*Phase 2: Development Core (Days 7–14)*
Mule Message Structure, Flows & Subflows
Core Components – Logger, Set Payload, Variables, Validation, Scheduler
Routers – Choice, Scatter-Gather, Round Robin
Scopes – ForEach, Parallel ForEach, Until Successful, Catch
Connectors I – HTTP, HTTPS, Database
Connectors II – File, FTP/SFTP, Web Service Consumer
Connectors III – VM, JMS, Salesforce, AWS
Scheduler Endpoint + Real-time Integration Use Case
---
*Phase 3: DataWeave & Error Handling (Days 15–20)*
DataWeave Fundamentals – MEL, expressions, variables
DataWeave Advanced I – XML ↔ JSON, CSV transformations
DataWeave Advanced II – Operators, functions, coercion
Error Handling I – Exception types, try-catch, On Error Propagate
Error Handling II – On Error Continue, Raise Error, practical scenarios
Debugging & Best Practices
---
*Phase 4: API-Led Connectivity & Deployment (Days 21–26)*
API-Led Layers (System, Process, Experience) – Use case demo
Securing APIs – Properties encryption, masking, applying policies
Anypoint Exchange – Publishing & exploring assets
API Manager – Basic endpoint, proxy, policies, Auto Discovery
Deployment I – CloudHub 1.0, Studio, Maven
Deployment II – CloudHub 2.0, CI/CD pipelines with Jenkins
---
*Phase 5: Advanced Features (Days 27–32)*
Architecture Design – CloudHub Runtime, Hybrid, On-Premise
Administration – Users, groups, business groups
Object Store – v1 vs v2, connector, real-time use case
Batch Processing – Batch job lifecycle, aggregator component
MUnit I – Basics, creating test suites
---
*Phase 6: MuleSoft with AI (Days 33–40)*
Introduction to AI in MuleSoft – Why AI + MuleSoft, real-world relevance
AI Chain Connector – Chat Prompt, Sentiment Analysis, Image Gen use cases
Inference Connector – AI workflows, document classification, entity extraction
MCP Support (Model Context Protocol) – Connecting LLMs & MCP adapters
Agentforce Connector – Building intelligent Salesforce service agents
Einstein for Spec & DataWeave – Auto RAML generation, AI-powered DW scripts
Topic Center & Agent Governance – AI Agent lifecycle, governance, monitoring
Видео Mulesoft New Batch will Start Soon канала KLART Technologies
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