Adobe Certified Professional - Adobe Firefly study plan
Adobe Certified Professional - Adobe Firefly · Give each week a clear focus.
8 weeks · About 6 hours per week
Generative AI fundamentals and Firefly concepts & Text-to-image generation and prompt crafting
Define generative AI and distinguish it from traditional editing tools in your own words
Explain how diffusion-based image generation works at a conceptual level
Identify the core Firefly capabilities and where each is accessed in Adobe workflows
Map each exam domain to your current confidence level in a written self-assessment
Your checkpoint
A one-page concept glossary of 20 generative AI and Firefly terms, each with a one-sentence original definition
Text-to-image generation and prompt crafting & Generative AI fundamentals and Firefly concepts
Deconstruct a prompt into subject, style, composition, lighting, and medium components
Write 15 original prompts varying one variable at a time to observe effect
Generate images from those prompts and log how each change altered output
Explain how aspect ratio, style presets, and reference inputs influence results
Your checkpoint
A prompt experiment log of 15 prompts with before/after observations and a ranked list of the five most influential prompt levers
Text-to-image generation and prompt crafting
Refine vague prompts into specific, descriptive ones using concrete nouns and modifiers
Practice crafting prompts for specific use cases such as product shots, editorial, and social
Diagnose failed generations and rewrite prompts to correct them
Compare text-to-image output quality across prompt structures
Your checkpoint
A prompt style guide with five reusable original prompt templates and a worked rewrite example for each
Generative editing and enhancement of images & Text-to-image generation and prompt crafting
Apply generative fill to add, remove, and replace objects in an image
Use generative expand to extend a canvas and match surrounding content
Practice iterative selection and prompt refinement for precise edits
Evaluate when generative editing is the right tool versus manual retouching
Your checkpoint
A before-and-after portfolio of five edited images, each with a short note on the selection strategy and prompt used
Generative editing and enhancement of images
Perform enhancement tasks such as upscaling, cleanup, and object removal
Maintain visual consistency across a set of related edited images
Combine generative edits with layer and mask workflows
Document a repeatable editing workflow from selection to final output
Your checkpoint
A step-by-step written workflow document for a complete generative enhancement task, validated by reproducing it on a second image
Generative video, audio, and design workflows & Generative editing and enhancement of images
Describe how generative video generation differs from generative image generation
Generate short video clips from text prompts and adjust motion and style parameters
Explore generative audio and voice capabilities and their typical applications
Integrate generated assets into a simple multi-asset design layout
Your checkpoint
A short composite project combining at least one generated image, one generated video clip, and one generated audio element with a brief production summary
Responsible use, licensing, and content credentials & Generative video, audio, and design workflows
Explain what Content Credentials are and how provenance is attached to generated assets
Distinguish commercially safe training data from other models and state licensing implications
Identify disclosure obligations and risks such as bias, deepfakes, and misrepresentation
Apply responsible-use checks to assets created in earlier weeks
Your checkpoint
A responsible-use checklist applied to your week 6 project, documenting provenance, licensing status, and any disclosure needed
Responsible use, licensing, and content credentials & Generative AI fundamentals and Firefly concepts
Review all five domains and close gaps flagged in the week 1 self-assessment
Recite key licensing and Content Credentials facts from memory
Practice explaining responsible-use scenarios and choosing correct actions
Simulate exam conditions with a timed self-quiz across all domains
Your checkpoint
A completed final self-assessment scoring each domain and a one-page summary of the ten facts you most need to review before the exam
Milestones
Week 2: Can explain diffusion-based generation and Firefly's core capabilities without notes, and has produced 15 logged prompt experiments
Week 4: Can complete a generative fill and generative expand edit unaided and articulate why each prompt and selection choice was made
Week 6: Has produced a multi-asset composite project using image, video, and audio generation
Week 8: Scores at or above 80% on a timed all-domain self-quiz and has a written list of remaining weak areas