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Personalization and Recommendation Systems

Activities based AI Micro session with measurable outcomes.

Course Start Date: TBD

Participants will design, build, and apply AI-powered personalization and recommendation systems to deliver highly relevant user experiences across websites, apps, marketing campaigns, and digital platforms all within the session itself.

Micro Session on Personalization and Recommendation Systems


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Overview | Sesssion Options | Session Structure | Certificate | Why Microsession on Personalization and Recommendation Systems | FAQ's | Get In Touch

Personalization and Recommendation Systems Overview

This power-packed micro session enables participants to create AI-powered personalized user experiences using recommendation systems. Designed for marketers, product managers, developers, data enthusiasts, and business leaders, the session focuses on using AI to understand user behavior and deliver the right content, product, or message at the right time.

Through live demonstrations and guided hands-on activities, participants will learn how to analyze user data, generate personalized recommendations, and design scalable personalization workflows. By the end of the session, learners walk away with ready-to-use personalization strategies, recommendation frameworks, AI prompts, and an end-to-end recommendation workflow.

EarlyRise's Personalization and Recommendation Systems Key Features
  • AI-powered personalization and recommendation framework
  • Hands-on recommendation system design during the session
  • Use of real-world user behavior scenarios
  • Ready-to-use prompts & recommendation templates
  • Live demos and guided practice
  • Real-world B2B & B2C personalization use cases
  • Outcome-focused, practical learning


Session Information
  • Session Date : TBD
  • Time : TBD
  • Duration : 4 Hours
  • Levels : Beginner
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Benefits for Participants:

skill Build personalized user experiences using AI

skill Improve engagement, retention, and conversion rates

skill Reduce manual segmentation and rule-based personalization

skill Create reusable AI-driven personalization workflows

skill Make data-driven decisions using AI insights

skill Walk away with a complete AI-powered recommendation system framework

Micro Session Participants Enrollment Options

Online Micro Session

1000
  • Learn in an instructor-led online Micro session class
  • One to one mentorship for doubt resolution
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Classroom Micro Session

1500
  • Classroom based Micro session
  • One to one mentorship for doubt resolution


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Corporate Session Customized Based On Your Requirements

Customized to your team's needs

  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options
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Session Structure: Personalization and Recommendation Systems

Understanding AI in Sales Intelligence

Key Learning Objective: Participants will understand how AI transforms traditional sales forecasting and lead qualification by analyzing historical sales data, customer behavior, engagement patterns, and intent signals to generate predictive insights.

Hands-on: Live Demo: Participants explore sample sales data and identify key inputs (pipeline stages, deal velocity, engagement metrics) used by AI models for forecasting and lead scoring.
Defining Sales Goals & Success Metrics with AI

Key Learning Objective: Participants will learn how to align AI-driven forecasting and lead scoring outputs with business objectives such as revenue targets, conversion rates, and pipeline health.

Hands-on: Participants prompt an AI to define sales goals, KPIs, and success metrics for a fictional or real sales scenario.
Predictive Revenue Forecasting

Key Learning Objective: Participants will learn how AI predicts future sales outcomes by analyzing trends, seasonality, deal stages, and historical performance to generate more accurate revenue forecasts.

Hands-on: Participants use AI prompts to generate a quarterly or monthly sales forecast from sample pipeline data.
Pipeline Health & Risk Analysis

Key Learning Objective: Participants will understand how AI identifies pipeline risks, stalled deals, and probability of closure to support proactive sales decision-making.

Hands-on: Participants analyze AI-generated insights to identify high-risk and high-confidence deals within a sample sales pipeline.
Behavioral & Intent-Based Lead Scoring

Key Learning Objective: Participants will learn how AI evaluates leads based on engagement behavior, intent signals, demographics, and firmographics to assign priority scores.

Hands-on: Participants prompt AI to score a set of leads and classify them into high, medium, and low-priority categories.
Interpreting Lead Scores for Sales Action

Key Learning Objective: Participants will understand how to translate AI-generated lead scores into practical sales actions, follow-ups, and outreach strategies..

Hands-on: Participants design next-step sales actions based on AI-assigned lead scores.
AI-Assisted Sales Decision Making

Key Learning Objective: Participants will learn how to combine AI-driven forecasts and lead scores to guide daily sales decisions, prioritization, and resource allocation.

Hands-on: Participants simulate sales decisions using AI-generated forecasting and lead scoring insights.
Mapping the Integrated Advertising Workflow

Key Learning Objective:

  • Lead Capture
  • Lead Scoring
  • Forecasting
  • Sales Prioritization
  • Performance Review
Hands-on: Collaborative Exercise: Participants design their own 5-Step AI-Powered Sales Forecasting & Lead Scoring Workflow.
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Micro Session Module

Estimated Course Duration

4 Hours

Learners Commitment

4 Hours

Course Structure

TOOLS TO COVER

chat gpt
scikit-learn
tensorflow
pytorch


certificate

Micro Credential Certificate From EarlyRise

Upon successful completion of the course, participants will receive a certificate from EarlyRise. This certificate is widely recognized and signifies that the holder has acquired specialized skills and knowledge in Personalization and Recommendation Systems.

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Micro Session Fee and Payment Method

Program Fee : Rs. 1000 + 18% GST = Rs. 1180

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Candidates can pay the program fee through Netbanking, Credit/Debit cards, Cheque or DD

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Why learn AI Requirements from EarlyRise?

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Learn from experts active in their field

Leading industry professionals who bring current best practices and case studies to sessions that fit into your work schedule.

Nominal Course Fee

Our Course fees are very nominal and competitive. We provide Scholarship up to 50% time to time for eligible candidates.

FAQ's

This session is ideal for Marketers, product managers, developers, data analysts, founders, and professionals interested in AI-driven personalization.

No prior experience is required. The session is designed for beginners and working professionals. All concepts, tools, and prompts are introduced in a simple, hands-on manner.

You will be able to design and apply AI-powered personalization and recommendation strategies immediately.

It is 100% practical. You will work on live exercises and real tools.

Yes. Participants receive reusable AI prompts, personalization templates, and recommendation workflows.

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Personalization and Recommendation Systems Micro Session

  • Participants learn how AI-driven personalization and recommendation systems analyze user behavior, preferences, and interactions to deliver tailored content, product suggestions, and experiences that increase user satisfaction and loyalty.
  • By applying recommendation strategies, learners can surface the most relevant products, content, or offers at the right time, significantly improving click-through rates, conversion rates, and long-term customer retention.
  • The session simplifies complex recommendation concepts such as collaborative filtering, content-based recommendations, and hybrid approaches, enabling participants to apply these techniques without deep mathematical or advanced coding knowledge.
  • Participants gain hands-on experience in transforming raw user data into actionable insights, helping businesses make informed decisions related to marketing, product discovery, cross-selling, and upselling strategies.
  • Learners receive reusable AI prompts, recommendation templates, and end-to-end workflows that can be directly applied to websites, mobile apps, e-commerce platforms, OTT platforms, and CRM systems for immediate impact.