Generative AI Fundamentals
by UptoSkills Team, Swayam Patel
Missions
10
Quests
60
Games
27
XP
340
Coins
35
Certificate optional — ₹499, or ₹199 on Pro
Key Benefits
Earn XP & Level Up
Gain 340 XP to unlock badges and achievements
Collect Coins
Earn 35 coins to redeem rewards
Professional Certificate
QR-verified and recruiter-checkable — ₹499, or ₹199 on Pro
Unlock Achievements
Complete challenges and earn exclusive badges
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Certificate of Completion
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"Generative AI Fundamentals"
League Program
This certificate acknowledges the successful completion of all required coursework and assessments. The recipient has demonstrated proficiency in the subject matter.
September 4, 2026
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About This League
Generative AI is revolutionizing how we create content and interact with technology. This beginner-level league provides a foundational understanding of generative AI models and their practical applications. Students will learn to harness AI for text and image generation, and build basic AI-powered tools.
What you will learn
Upon completing this league, you will be able to:
- Understand the core concepts and types of Generative AI models, including neural networks and data's role.
- Master prompt engineering techniques to guide AI in generating specific text outputs like summaries and creative writing.
- Interact with Generative AI APIs to integrate text and image generation capabilities into simple scripts.
- Develop basic AI-powered applications by combining text and image generation functionalities.
- Grasp the concepts of fine-tuning AI models for customized outputs and explore advanced prompting strategies.
- Understand the future trends in AI, including multimodal AI and responsible development practices.
What this league covers
| Module | What it covers |
|---|---|
| Foundations of Generative AI | Explores what Generative AI is, different model types, basic neural networks, data's role, ethics, and setting up a development environment. |
| Introduction to Prompt Engineering | Defines prompt engineering, details good prompt anatomy, basic techniques, iterative improvement, common pitfalls, and prompting for text generation. |
| Prompting for Specific Text Outputs | Focuses on prompting for summarization, creative writing, code snippets, translation, question answering, and dialogue generation. |
| Understanding Generative AI APIs | Explains APIs, how AI APIs function, key concepts like requests and responses, authentication, choosing APIs, and reading documentation. |
| Interacting with Text Generation APIs | Covers setting up API access, making initial API calls, handling responses and errors, customizing parameters, integrating into scripts, and usage limits. |
| Advanced Prompting Strategies | Introduces few-shot prompting, chain-of-thought, role-playing, prompting for structured data, negative constraints, and controlling output tone. |
| Working with Image Generation APIs | Details image generation models, prompting for image creation, API parameters, generating variations, handling responses, and ethical image use. |
| Building Simple AI-Powered Applications | Guides on application design, integrating text and image APIs, basic UI for AI tools, building a content generator, a chatbot, and deployment basics. |
| Fine-Tuning and Customization Concepts | Explains fine-tuning, when to use it versus prompting, data preparation, the basic process, evaluation, and alternatives to full fine-tuning. |
| The Future of Generative AI and APIs | Discusses emerging architectures, multimodal AI, AI agents, the evolution of prompt engineering, responsible AI, and future learning steps. |
Students are now equipped to explore the AI Prompt Engineering league.
A look inside
Prerequisites
- Have used an AI chat assistant before.
- Understand variables, loops, conditionals and functions in some language.
Learning Objectives
- Understand the fundamental concepts of generative AI and its common applications.
- Formulate clear and effective prompts for basic generative AI tasks using natural language.
- Identify and describe the purpose of APIs in the context of integrating generative AI models.
- Execute simple API calls to interact with a pre-trained generative AI model to obtain specific outputs.
- Differentiate between various types of generative AI models and their primary use cases.
- Evaluate the quality of generative AI outputs based on prompt clarity and model capabilities.
Earn XP • Collect Coins • Unlock Achievements