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                       Market Analysis and Publishing

 

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What you'll learn ​

Hands-on project-based learning

Integration of AI tools like Google Analytics AI, Flurry, App magic, and predictive analytics platforms

Real-world case studies of AI-enhanced market analysis and publishing

 

Portfolio development

3 Months Courses


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Game Art 

Duration: 3 Months

Game Art refers to the visual elements and aesthetics of a game, including characters, environments, animations, user interfaces, and special effects. t plays a crucial role in shaping the player’s experience by creating an immersive and engaging world.


Game Design

Duration: 3 Months

Game design involves creating the structure, mechanics, and overall experience of a game. It includes defining rules, levels, objectives, and player interactions to ensure the game is engaging, balanced, and fun.


two black flat screen computer monitors
Game Development

Duration: 3 Months

Game Development is the process of creating a game from concept to completion, involving coding, asset integration, and testing. It includes using game engines like Unity or Unreal Engine to build mechanics, design levels, and optimize performance for target platforms, such as mobile devices.

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Game Publishing
Duration: 3 Months

Game Publishing involves releasing, marketing, and distributing a game to reach players effectively. It includes tasks like app store optimization (ASO), monetization strategy implementation, community engagement, and analytics tracking to ensure the game’s success.


Course Description


This 6-month intensive course is designed to teach you how to leverage artificial intelligence (AI) for market analysis, competitive research, and publishing strategies. You’ll learn how to use AI tools to analyze consumer behavior, predict market trends, optimize content for publishing platforms, and automate marketing campaigns. By the end of the course, you will have developed a comprehensive AI-driven strategy for launching and promoting products or services in your target market.


Key Features

Classroom Learning

Collaborate with peers and receive personalized feedback.

Real-World Projects

Tackle industry-inspired briefs to build practical experience.

Internship options/Freelancing

Get paired with professionals for guidance and networking.

                    Course Content

Learn how to quickly start using our courses with our step-by-step learning process.

Weeks 1–8 - 

Market Analysis & Audience Research

Objective

The first phase introduces foundational concepts of market research tailored specifically for the gaming industry. Learners will explore how AI can streamline and enhance traditional research methods by analyzing vast datasets efficiently

What You Will Learn

  • Fundamentals of market analysis and its role in game development.
  • How to use AI for data collection, processing, and trend identification.
  • Techniques for segmenting audiences and understanding consumer behavior

Course Content

  1. Introduction to Market Research
    • Understanding qualitative vs. quantitative research.
    • Importance of product-market fit in gaming.
  2. Leveraging AI for Data Collection
    • Tools like Google Trends, SEMrush, and AI-powered analytics platforms.
  3. Consumer Behavior Analysis
    • Predictive modeling and customer segmentation.
  4. Sentiment Analysis
    • Using AI to gauge player feedback on existing games.

Key Activities

  • Conduct a competitive analysis of popular games using AI tools.
  • Create a persona-based segmentation report for a hypothetical game.
  • Perform sentiment analysis on social media discussions about trending games.

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Weeks 9–16 - 

Game Planning & Content Creation

Objective

In this phase, we shift focus to translating market research findings into concrete game plans. Students will learn how AI can assist in generating innovative ideas, refining gameplay elements, and ensuring alignment with audience expectations.

What You Will Learn

  • Best practices for creating engaging game narratives and mechanics.
  • How AI enhances creative processes such as dialogue generation and level design.
  • Strategies for optimizing game features based on market insights.

Course Content

  1. Game Design Principles
    • Core mechanics, storyboarding, and prototyping.
  2. AI-Assisted Creativity
    • Generating dialogue, quests, and dynamic environments.
  3. Personalized Gaming Experiences
    • Tailoring content to different player segments.
  4. Iterative Testing & Feedback Loops
    • Using AI to analyze playtesting results.

Key Activities

    • Develop a high-level game concept document informed by market research.
    • Use an AI tool Gemini deep research (e.g., ChatGPT) to generate sample dialogues or questlines.
    • Simulate a playtesting session and analyze feedback using AI analytics.

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Weeks 17–24 -

Publishing Strategy & Execution

Objective

Publishing is where your hard work comes to life. This final phase focuses on crafting a robust publishing strategy that maximizes visibility and impact. AI plays a critical role in automating tasks, optimizing campaigns, and delivering personalized recommendations to players

What You Will Learn

  • Effective publishing paths (self-publishing vs. working with publishers).
  • Utilizing AI for campaign optimization, ASO, and email automation.
  • Post-launch strategies to maintain player interest and drive revenue.

Course Content

  1. Choosing the Right Publishing Path
    • Pros and cons of self-publishing vs. traditional publishing.
  2. Pre-Launch Campaigns
    • Building hype through AI-enhanced social media and email marketing.
  3. Launch Day Optimization
    • Ensuring smooth distribution across platforms.
  4. Post-Launch Engagement
    • Retention strategies powered by AI insights.

Key Activities

  • Draft a pre-launch marketing plan complete with AI-generated ad copy.
  • Optimize a game’s store page for SEO using AI tools.
  • Design a retention campaign featuring personalized offers for players.

Course Outcomes

By the end of the course, you will:

  • Be proficient in conducting AI-driven market research and analysis.
  • Have developed a fully fleshed-out game concept ready for production.
  • Possess a clear understanding of publishing strategies optimized with AI.
  • Gain practical experience using real-world AI tools and platforms.

Course Duration

  • 6 months (24 weeks) with a recommended commitment of 8–10 hours per week.

Certificate of Completion

  • Upon successful completion of all modules, assignments, and projects, students will receive a Certificate of Completion recognizing their expertise in AI-enhanced game planning, research, and publishing.


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