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Practice

Put what you have learned into practice. This mini project helps you connect Generative AI concepts to real examples you have seen or used.

15 min•By Priygop Team•Updated 2026

Mini Project: Identify Generative AI Around You

# Mini Project: Map the Generative AI in your life
# No setup required - just Python and your observations

generative_ai_examples = {
    "ChatGPT": {
        "type": "Text generation",
        "what_it_creates": "Text answers, summaries, code, essays",
        "example_prompt": "Explain photosynthesis in simple terms.",
        "why_it_is_generative": "Creates new text that did not exist before"
    },
    "DALL-E": {
        "type": "Image generation",
        "what_it_creates": "Images from text descriptions",
        "example_prompt": "A robot reading a book in a cozy library, digital art style.",
        "why_it_is_generative": "Creates images that have never existed before"
    },
    "GitHub Copilot": {
        "type": "Code generation",
        "what_it_creates": "Code suggestions and completions",
        "example_prompt": "# Write a function that sorts a list of names alphabetically",
        "why_it_is_generative": "Writes new code based on comments and patterns it learned"
    },
}

# Print a structured summary
print("=== Generative AI Tools I Have Seen or Used ===")
print()

for tool_name, details in generative_ai_examples.items():
    print(f"Tool: {tool_name}")
    print(f"  Type: {details['type']}")
    print(f"  Creates: {details['what_it_creates']}")
    print(f"  Example prompt: {details['example_prompt']}")
    print(f"  Why generative: {details['why_it_is_generative']}")
    print()

print(f"Total tools identified: {len(generative_ai_examples)}")

Diagram

Loading diagram…

Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence

Your Turn

Your TurnHTML

HTML Editor

✓ ValidTab = 2 spaces

# Add Generative AI tools or examples you have actually seen or used
# Replace the examples with your own observations

my_generative_ai_examples = {
    "Tool or Feature Name": {
        "type": "Text / Image / Audio / Video / Code generation",
        "what_it_creates": "What does this tool create?",
        "example_prompt": "What would you type to use it?",
        "why_it_is_generative": "Why is it generative and not just traditional AI?"
    },
    # Add at least 3 examples from your own experience
}

# Think about:
# - Chat tools you have used
# - Writing assistants in apps you use
# - AI features in search engines
# - Image tools you have seen online
# - Voice tools or transcription features

for tool, info in my_generative_ai_examples.items():
    print(f"{tool}: {info['type']}")

Result

Click ▶ Run to see the result

Edit the code on the left, then click Run (Ctrl+Enter)

HTML|22 lines|799 chars|✓ Valid syntax

UTF-8

Key Takeaways from Module 1

Generative AI creates new content including text, images, audio, and video
It differs from traditional AI: traditional AI classifies, Generative AI creates
Generative AI is a type of Deep Learning that uses Machine Learning as its training method
It learns from enormous amounts of data during training, then generates new content during inference
Main types: text generation, image generation, audio generation, video generation, code generation, and multimodal AI
Real applications span every industry: healthcare, education, marketing, software, finance, and more

Key Takeaways

Put what you have learned into practice.
Generative AI creates new content including text, images, audio, and video
It differs from traditional AI: traditional AI classifies, Generative AI creates
Generative AI is a type of Deep Learning that uses Machine Learning as its training method

Topics in This Module

Mini Project: Identify Generative AI Around You

# Mini Project: Map the Generative AI in your life
# No setup required - just Python and your observations

generative_ai_examples = {
    "ChatGPT": {
        "type": "Text generation",
        "what_it_creates": "Text answers, summaries, code, essays",
        "example_prompt": "Explain photosynthesis in simple terms.",
        "why_it_is_generative": "Creates new text that did not exist before"
    },
    "DALL-E": {
        "type": "Image generation",
        "what_it_creates": "Images from text descriptions",
        "example_prompt": "A robot reading a book in a cozy library, digital art style.",
        "why_it_is_generative": "Creates images that have never existed before"
    },
    "GitHub Copilot": {
        "type": "Code generation",
        "what_it_creates": "Code suggestions and completions",
        "example_prompt": "# Write a function that sorts a list of names alphabetically",
        "why_it_is_generative": "Writes new code based on comments and patterns it learned"
    },
}

# Print a structured summary
print("=== Generative AI Tools I Have Seen or Used ===")
print()

for tool_name, details in generative_ai_examples.items():
    print(f"Tool: {tool_name}")
    print(f"  Type: {details['type']}")
    print(f"  Creates: {details['what_it_creates']}")
    print(f"  Example prompt: {details['example_prompt']}")
    print(f"  Why generative: {details['why_it_is_generative']}")
    print()

print(f"Total tools identified: {len(generative_ai_examples)}")

Diagram

Loading diagram…

Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence

Your Turn

Your TurnHTML

HTML Editor

✓ ValidTab = 2 spaces

# Add Generative AI tools or examples you have actually seen or used
# Replace the examples with your own observations

my_generative_ai_examples = {
    "Tool or Feature Name": {
        "type": "Text / Image / Audio / Video / Code generation",
        "what_it_creates": "What does this tool create?",
        "example_prompt": "What would you type to use it?",
        "why_it_is_generative": "Why is it generative and not just traditional AI?"
    },
    # Add at least 3 examples from your own experience
}

# Think about:
# - Chat tools you have used
# - Writing assistants in apps you use
# - AI features in search engines
# - Image tools you have seen online
# - Voice tools or transcription features

for tool, info in my_generative_ai_examples.items():
    print(f"{tool}: {info['type']}")

Result

Click ▶ Run to see the result

Edit the code on the left, then click Run (Ctrl+Enter)

HTML|22 lines|799 chars|✓ Valid syntax

UTF-8

Key Takeaways from Module 1

Generative AI creates new content including text, images, audio, and video

It differs from traditional AI: traditional AI classifies, Generative AI creates

Generative AI is a type of Deep Learning that uses Machine Learning as its training method

It learns from enormous amounts of data during training, then generates new content during inference

Main types: text generation, image generation, audio generation, video generation, code generation, and multimodal AI

Real applications span every industry: healthcare, education, marketing, software, finance, and more

Topics in This Module