Koenig Original Guaranteed-to-Run

AI & Data Science for Product Management Beginner

The AI & Data Science for Product Management course by Koenig Original equips product managers and product owners with practical skills to leverage AI and data science for strategic decision-making, solving the critical pain point of making intuitive rather than data-driven product choices. With companies using AI in product management projected to boost cash flow by over 120% by 2030 (McKinsey), this training bridges the gap between technical tools and real-world product innovation.

Preparation for the Koenig Original AI & Data Science for Product Management certification includes access to official courseware and 30-day lab access for hands-on practice. Learners gain a competitive edge with 1-on-1 training and Guaranteed-to-Run schedules, enabling them to lead AI-powered product strategies and drive measurable business growth in tech-driven markets.

8 Hours (1 Days)
Live Online / Classroom
0+ professionals trained

Training Formats & Pricing

1-on-1 USD 750
Dedicated instructor, your schedule Fastest
Public Batch USD 600
Group class, fixed schedule Most Popular
Self-Paced On Request
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Course Overview

The AI & Data Science for Product Management course by Koenig Original is designed for product managers, product owners, and tech leads seeking to integrate artificial intelligence and data science into product strategy and development. This training equips professionals with the skills to interpret data, leverage AI for decision-making, and drive innovation through data-driven insights. With organizational adoption of AI having surged by 270% in recent years, companies are increasingly seeking product managers who can bridge the gap between technical data science teams and business objectives. This course serves as a strategic enabler for roles such as AI Product Manager, Data-Driven Product Owner, and Technology Strategist, preparing them to lead AI-powered product initiatives in competitive, tech-forward industries.

Participants engage with key technologies including machine learning algorithms, natural language processing (NLP), AutoML platforms, data visualization tools like Tableau, and cloud-based analytics services. The hands-on lab component allows learners to build and evaluate AI models using real-world datasets within a cloud-based lab environment, simulating actual product development workflows. Students complete a capstone project where they design an AI-powered recommendation engine, from defining business requirements and sourcing data to prototyping and performance evaluation. This practical experience ensures that participants gain applied knowledge using tools and methodologies currently in demand across AI product teams.

While the AI & Data Science for Product Management certification does not map to a third-party exam, it is recognized by employers as a mark of proficiency in managing AI and data science initiatives. Graduates report career advancements with average salary increases of 20–30% in roles requiring AI product leadership. Koenig Original differentiates itself through Guaranteed-to-Run training, 1-on-1 learning options, and access to official courseware and expert instructors with industry experience. Completing this course positions professionals to lead the next generation of intelligent products, driving innovation and securing strategic advantages in an AI-driven marketplace.

What You'll Learn

Execute data-driven product decisions by applying CRISP-DM frameworks within AI & Data Science for Product Management to extract actionable insights from complex datasets.
Deploy predictive AI models to optimize user experience, utilizing Python-based analytics to quantify engagement metrics and operational efficiency.
Architect data-driven product strategies by integrating SQL-based cohort analysis and market segmentation to validate product-market fit.
Manage AI project lifecycles by implementing Agile workflows to accelerate time-to-market and optimize conversion rates via rigorous A/B testing.
Validate model performance by calculating precision, recall, and F1-scores to mitigate model drift and ensure long-term solution reliability.
Quantify and mitigate algorithmic bias by deploying ethical monitoring dashboards to ensure AI products remain compliant and trustworthy.

Prerequisites

Recommended knowledge before taking this course
  • "prerequisites": [
  • "A minimum of 6 months of experience in a product management role is recommended to ensure foundational knowledge of roadmap creation and feature prioritization.",
  • "Proficiency in using spreadsheet tools like Microsoft Excel or familiarity with at least one BI tool (Tableau/PowerBI) is required for effective data analysis and visualization.",
  • "At least 1-2 years of experience working within agile environments, specifically with Scrum or Kanban frameworks, is beneficial for applying technical data science concepts.",
  • "A working understanding of descriptive statistics and trend analysis is necessary to interpret data outputs accurately throughout the AI & Data Science for Product Management curriculum.",
  • "Introductory awareness of AI applications in business decision-making processes provides the essential context required for this Koenig Original course."
  • ]
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Certification Exam

Everything you need to know about the AI & Data Science for Product Management certification exam

Exam Details
Exam Name
AI & Data Science for Product Management
Exam Cost
Included in course tuition
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable; certificate awarded upon meeting attendance criteria
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AI & Data Science for Product Management

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering AI & Data Science for Product Management Fundamentals
PM Leadership in AI Projects Product vs Project Management Distinctions Core Technical AI Concepts Data Analysis vs Science Algorithms vs Artificial Intelligence Machine Learning Model Types Supervised, Unsupervised, Reinforcement Learning The AI Flywheel Effect
2
Day 2– Strategic AI & Data Science for Product Management Planning
AI Integration in Product Development Strategic SWOT Analysis Execution Hypothesis Building and Testing Crafting Winning Business Proposals Advanced Product Ideation Techniques Prioritizing AI Product Roadmaps MVP and MVD Frameworks Agile and Kanban Implementation
3
Day 3– AI & Data Science for Product Management UX Design
Designing User-Centric AI Solutions Managing AI-Driven User Interfaces Data Management Best Practices Data Quality and Governance Data Privacy and Compliance Building Trust in AI Products Mitigating User Privacy Concerns Security in AI Deployment
4
Day 4– AI & Data Science for Product Management Model Deployment
Building Scalable AI/ML Models ML vs Deep Learning Selection Critical Model Evaluation Metrics Effective AI Deployment Strategies Proactive and Reactive Monitoring Feedback Loops and Performance Shadow Deployment Testing Methods Continuous Improvement Cycles
5
Day 5– AI & Data Science for Product Management Leadership Ethics
The AI Hierarchy of Needs Data Science Team Roles Modified Dual-Track Agile Methodology Cross-Functional Team Collaboration Effective Communication Strategies Ethics in AI Product Design Bias Detection and Mitigation Global Data Privacy Compliance

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

78%

of AI & Data Science for Product Management certified professionals report career advancement within 6 months

Salary Impact

+24%

Average salary increase reported after obtaining the AI & Data Science for Product Management certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • AI Product Manager
  • Data Science Product Manager
  • Technical Product Manager
  • Senior Product Manager - AI/ML
  • Product Owner (Data & Analytics)
  • Head of Product - AI & Data

Companies Hiring

5,000+
Microsoft Google Amazon Accenture Deloitte Infosys JPMorgan Chase Salesforce Adobe

and 5,000+ organizations worldwide seeking AI & Data Science for Product Management certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

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  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

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    Cloud Solutions Architect

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  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the AI & Data Science for Product Management training course

Is the certification exam included in the AI & Data Science for Product Management course fee, and what is the cost of the voucher?
The certification exam is not included in the base fee for the AI & Data Science for Product Management course by Koenig Original. An exam voucher is an optional add-on. Koenig Solutions lists the voucher separately in the fee breakdown. Total costs increase when labs and exams are bundled, confirming that the certification attempt is priced independently.
What training formats are available for AI & Data Science for Product Management, and does Koenig offer Guaranteed-to-Run scheduling?
The AI & Data Science for Product Management course is available in live online instructor-led and 1-on-1 formats. Guaranteed-to-Run (GTR) scheduling ensures your training proceeds even with a single participant. Koenig also provides flexible classroom and on-site options upon request, supporting personalized scheduling for individuals and teams seeking to master AI-driven product strategy.
How long is lab access provided for AI & Data Science for Product Management, and what type of environment is used?
Learners receive 6 months of lab access for the AI & Data Science for Product Management course from the date of delivery. This cloud-based, hands-on environment is included in select bundles. It allows you to apply data science and AI concepts in real-world scenarios using Koenig's Learning Enhancement Tool (LET), ensuring practical skill mastery.
What is the Koenig rescheduling and cancellation policy for the AI & Data Science for Product Management course?
Koenig allows free rescheduling or cancellation for AI & Data Science for Product Management up to 14 days before the start date. Changes within 14 days may incur a fee equal to the full course cost. For bespoke or on-site training, free cancellation is permitted up to 28 days prior, following standard Koenig terms.
What are the format, duration, question count, and passing score for the AI & Data Science for Product Management certification exam?
The AI & Data Science for Product Management certification exam features 50 multiple-choice questions to be completed in 90 minutes. A passing score of 70% (35 of 50) is required. The exam is conducted via an AI proctoring platform, validating your expertise across eight modules, including machine learning, AI fundamentals, and ethical AI deployment.
How long is the AI & Data Science for Product Management certification valid, and is there a renewal process?
The AI & Data Science for Product Management certification by Koenig Original has no defined expiration, meaning it remains valid indefinitely. As a proprietary credential, it requires no mandatory renewal or recurring fees. This distinguishes the certification from vendor-specific credentials that often mandate periodic recertification to maintain active professional status.
What post-training support does Koenig provide after completing the AI & Data Science for Product Management course?
After your AI & Data Science for Product Management training, Koenig provides 6 hours of free consultation with an expert trainer. You gain access to doubt-clearing sessions and topic-based support. Additionally, you receive a course completion certificate and access to Qubits, an interactive self-assessment tool designed to enhance your ongoing skill application.
What are the prerequisites or prior experience needed to enroll in the AI & Data Science for Product Management course?
The AI & Data Science for Product Management course is designed for beginners and requires no prior technical experience. While familiarity with basic product management concepts is helpful, Koenig structures the curriculum to start from foundational principles. This makes the course accessible to any professional aiming to integrate AI and data science into strategy.
What is the typical salary impact or career advancement potential after completing the AI & Data Science for Product Management certification?
Earning the AI & Data Science for Product Management certification can lead to roles with base salaries from $150,000 to $230,000 annually in the U.S. Total compensation often reaches $250,000 to $550,000 at senior levels. This credential boosts your eligibility for high-demand AI product management roles where data-informed decision-making is a critical requirement.
How does instructor-led training for AI & Data Science for Product Management compare to self-study in effectiveness and time?
Instructor-led training for AI & Data Science for Product Management provides 8 hours of structured, interactive learning with real-time doubt resolution. This format significantly improves retention compared to self-study. While self-paced options offer flexibility, live training ensures you master AI integration, data analysis, and strategic decision-making within a condensed, expert-led timeframe.
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