Pega CDH Training In Hyderabad is Best in 2024

Pega CDH Training In Hyderabad

Flexible Learning

Affordable Learning

Hands – On Experience

Daily Recordings

Industry – Specific Skills

One on One Mentorship

20+

Batches

5+

Instructors

300+

Students

250+

Students Got Placed

Cirruculum

01: Introduction PEGA Decisioning, NBA & Prediction Studio

Overview of NBA – Next Best Action
Real-Life NBA Usage
Decisioning Studios – CDH & Prediction Studio

02: Application Architecture

PEGA’s DMSample Application
Creating our new Decisioning Application
NBA Class Structures & Data Types.
Walkthrough of ADM Service Infrastructure
Configuring the DDS Node in the Cluster

03: Proposition Management

Overview of Proposition Management
Adding a new Business Issue
Adding a new Business Group.
Adding a new Property.
Uploading Propositions from CSV.

04: Proposition Data & Decision Data

Versioned Proposition Data
Unversioned Proposition Data
Getting started with Decision Data
Copy Proposition Groups.

05: Working with Data Sets

About Data Sets
Types of Data Sets
Copy Proposition Groups.

06: Configuring the Data Flows

About Data Flows
Types of Data Flows – Internal & External
Configuring the Incoming Data
Applying Data Flow Actions – Compose, Convert, Merge
Applying Data Flow Actions – Strategy, Data Transforms,
Filters & Abstracts
External Data Flows

07: Using the Event Strategy

About Event Strategy
Differences between Strategy & Event Strategy
Event Strategy Actions – Filter, Lookup, Split
Event Strategy Actions – Split & Join, Window, Aggregate

08: Using the Strategy

About Strategy
Strategy Shapes – Sub Strategy, Prediction, Import
Strategy Shapes – Business Rules, Decision Analytics
Strategy Shapes – Enrichment, Arbitration
Strategy Shapes – Selection, Aggregation

09: Modeling Decisions – Adaptive Models

About Adaptive Models
Adaptive Models – Predictors
Adaptive Models – Context
Adaptive Models – Outcomes
Adaptive Models – Monitoring
Interaction History & Table
Customer Responses
Configuring Self-Learning Models

10: Modeling Decisions – Predictive Models

About Predictive Model
PMML Schema and Modelling
Predictive Models – Monitor
Predictive Models – Model
Predictive Models – Input Mapping
Predictive Models – Parameters

11: Using the Prediction Studio

Analyzing Adaptive Model Performance
Analyzing Predictive Model Performance
Analyzing Text Extraction Performance
Propensity Score Calculation.

12: Modeling Decisions – Text Analytics

About Text Analyser
Text Analytics & Extraction
Analyzing a Text File

13: Treatments and Actions

Defining and Managing Customer Actions
About Treatments & Types
Presenting Offers via Treatments.
Outbound & Multi-Level Campaigns

14: Engagement & Contact Policy

Creating an Engagement Strategy
Creating a Contact Policy
Understanding Volume Constraints
Understanding Proposition Eligibility Rules
Simulations & Segmentations

15: Containers

Types of Artifacts and Containers
Using the Real-time Container
Action Arbitration and Intelligence

Course Highlights

Real-world Applications : Learning how to develop modern web applications with real-world relevance.

Comprehensive Coverage : In-depth exploration of MongoDB, Express.js, React, and Node.js components.

Hands-on Projects : Practical application through project-based learning to reinforce understanding.

Flexibility : Adapting to individual learning paces and preferences through flexible course structures.

Expert Guidance : Instruction from industry professionals to gain insights and best practices.

Full-stack Mastery : Equipping learners with skills for both frontend and backend development.

Efficiency and Effectiveness : Streamlining development processes for building scalable web applications.

Practical Experience : Opportunities for hands-on coding and implementation to solidify learning.

Career Readiness : Preparing learners for employment opportunities in the field of full-stack web development.

What is Pega CDH?

Pega Customer Decision Hub (CDH) is a pivotal component of the Pega Platform, offering organizations the capability to deliver hyper-personalized customer experiences. CDH operates through real-time decisioning, harnessing artificial intelligence (AI) and machine learning algorithms to analyze vast troves of customer data and contextual information. By doing so, it enables organizations to tailor interactions across a spectrum of touchpoints, be it websites, mobile applications, call centers, or email. This agility in decision-making, underpinned by AI, ensures that customers receive pertinent offers, messages, and services precisely when they need them, fostering deeper engagement and satisfaction.

Prerequisites of Pega CDH

Understanding of Customer Relationship Management (CRM): A foundational understanding of CRM principles and practices is essential as Pega CDH focuses on delivering personalized customer experiences
Knowledge of Data Analysis and Analytics: Proficiency in data analysis and analytics concepts is crucial as Pega CDH leverages customer data and contextual information to make real-time decisions.
Familiarity with Artificial Intelligence (AI) and Machine Learning (ML): Basic knowledge of AI and ML concepts is beneficial as Pega CDH utilizes AI and ML algorithms to analyze customer behavior and predict preferences.
Experience with Pega Platform: Familiarity with the Pega Platform, including its architecture, components, and capabilities, is advantageous as Pega CDH is a component of the Pega Platform.
Understanding of Omni-Channel Customer Engagement: Knowledge of omni-channel customer engagement principles and practices is helpful as Pega CDH enables personalized interactions across multiple channels.
Proficiency in Event-Driven Architecture: Understanding event-driven architecture and its implications for real-time decisioning is valuable as Pega CDH operates on an event-driven architecture.
Experience with Analytics and Reporting Tools: Experience with analytics and reporting tools is beneficial for leveraging Pega CDH’s analytics and reporting capabilities to track customer interactions and measure campaign effectiveness.

Who should Learn ?

Marketing Professionals

Marketing professionals who are responsible for designing and executing customer engagement strategies can benefit from learning Pega CDH. It enables them to leverage AI-driven decisioning capabilities to personalize customer interactions, optimize campaigns, and drive better outcomes.

Customer Experience (CX) Managers

CX managers focus on enhancing the overall customer experience across different touchpoints. Learning Pega CDH equips them with the tools and techniques to deliver personalized and contextually relevant experiences that meet the needs and preferences of individual customers.

Data Analysts and Data Scientists

Data analysts and data scientists play a crucial role in analyzing customer data, deriving insights, and building predictive models. Learning Pega CDH allows them to apply their analytical skills to optimize decision strategies and drive better business outcomes.

CRM Specialists

Customer Relationship Management (CRM) specialists are responsible for managing customer relationships and maximizing customer lifetime value. Learning Pega CDH enables them to leverage AI-driven decisioning to personalize customer interactions, increase engagement, and drive customer loyalty.

Business Analysts

Business analysts bridge the gap between business requirements and technical solutions. Learning Pega CDH equips them with the skills to translate business needs into decision strategies, configure decisioning models, and measure the effectiveness of customer engagement initiatives.

IT Professionals

IT professionals involved in designing, implementing, and maintaining customer engagement systems can benefit from learning Pega CDH. It enables them to integrate decisioning capabilities into existing systems, ensure data security and privacy, and optimize system performance.

Product Managers

Product managers are responsible for defining product strategies and roadmaps. Learning Pega CDH empowers them to incorporate AI-driven decisioning capabilities into product offerings, differentiate products based on personalized customer experiences, and drive product innovation.

Consultants and Solution Architects

Consultants and solution architects provide advisory services and design technical solutions for clients. Learning Pega CDH allows them to recommend and implement AI-driven decisioning solutions that address clients’ business challenges and drive measurable results.

Job Opportunities

Pega Developer

Pega Developers specialize in designing, developing, and customizing Pega applications to meet specific business requirements. They are responsible for configuring application features, implementing business logic, and integrating Pega applications with other systems.

Pega Architect

Pega Architects design the overall architecture of Pega applications, ensuring scalability, performance, and alignment with business goals. They provide technical leadership, define best practices, and guide development teams in implementing Pega solutions.

Business Analyst

Business Analysts with expertise in Pega PRPC work closely with stakeholders to gather requirements, analyze business processes, and design solutions using Pega Platform. They translate business requirements into technical specifications and collaborate with developers to implement solutions.

Pega System Administrator

Pega System Administrators are responsible for installing, configuring, and maintaining Pega environments. They ensure the stability, security, and performance of Pega applications and provide support to users and developers.

Pega QA Engineer

Pega QA Engineers specialize in testing Pega applications to ensure their functionality, reliability, and performance. They design and execute test cases, identify defects, and work with developers to resolve issues.

Project Manager

Project Managers with knowledge of Pega PRPC oversee projects involving the development and implementation of Pega applications. They plan, organize, and coordinate project activities, manage resources, and ensure the successful delivery of Pega solutions.

Mode Of Training

Self-Paced Training

Self-paced training allows individuals to learn at their speed, accommodating their schedule and learning style. It offers flexibility and autonomy, enabling learners to delve deeply into topics of interest and review materials as needed, fostering a more personalized and effective learning experience.

Online Training

Online training offers the convenience of learning from anywhere with an internet connection, eliminating geographical barriers. It provides access to a wide range of courses and resources, allowing learners to customize their learning experience based on their interests and goals.

Classroom Training

Classroom training involves in-person instruction in a physical classroom setting, facilitating real-time interaction between instructors and students. It provides a structured learning environment with face-to-face guidance, group discussions, and hands-on activities, fostering collaboration and immediate feedback.

Certification

Pega offers certification programs for developers, architects, analysts, and specialists, validating skills in application design, development, and domain-specific areas like decision management and robotics. Certifications such as CSA, CSSA, and CLSA demonstrate proficiency in Pega technologies, enhancing career prospects and credibility within the Pega ecosystem.

Our Other Courses

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The MERN stack is a popular full-stack solution for web development, integrating MongoDB for data storage and Express.js, React.js, and Node.js for server-side logic, dynamic UI, and server runtime respectively.

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AI Tools

“AI Tools” is a comprehensive course offering hands-on training in various artificial intelligence technologies, such as machine learning and natural language processing, equipping students with the skills to apply AI in real-world scenarios.

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Students Review

u003cbru003eThe Pega PRPC course provided by RUDRASA was excellent! The instructors were knowledgeable and supportive, and the hands-on labs really helped reinforce the concepts. I feel confident in my ability to develop Pega applications after completing this course.u0022

GOPALA KRISHNA

As a business analyst, learning Pega PRPC was a game-changer for me. The course covered everything from understanding business processes to designing and implementing Pega solutions. I highly recommend it to anyone looking to enhance their skills in business process management.u0022

Sailaja machaa

I enrolled in the Pega PRPC course to transition into a career as a Pega developer, and I’m glad I did. The course material was comprehensive, and the instructors did a great job of explaining complex topics in an easy-to-understand manner. The hands-on projects were particularly valuable for gaining practical experience.u0022

Lokesh rajCompany Name

u0022I found the Pega PRPC course to be well-structured and organized. The online learning platform was user-friendly, and the course materials were up-to-date. The support from the instructors and the online community was also fantastic. Overall, it was a rewarding learning experience.u0022

alekhya Company Name

u0022As an IT consultant, adding Pega PRPC to my skill set has opened up new opportunities for me. The course provided a solid foundation in Pega development, and I’ve already been able to apply what I’ve learned to client projects. I would definitely recommend this course to other professionals in the industry.u0022

niraja cherukuriCompany Name

Students Got Placed

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