Course Information

  • Sessions 1 day
  • Duration 8.25 hrs
  • Level Beginner
  • Assessment NA

Venue

Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Generative AI for Adobe Illustrator

Course Code: C152
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What's This Course About

Step into the future of vector design with Generative AI for Adobe Illustrator. This hands-on 1-day course shows you how Adobe Firefly—the generative AI engine built into Illustrator—transforms the way you create logos, icons, illustrations and patterns. You will learn to generate fully editable vector graphics from simple text prompts with Text to Vector Graphic, restyle entire artworks in seconds with Generative Recolor, and fill shapes with AI-generated content that matches your creative direction.

Through practical exercises, participants will build complete generative design workflows—creating scenes, subjects and seamless patterns from prompts, matching styles with reference artwork, identifying and matching fonts with Retype, and combining generative output with classic Illustrator tools like the Pen tool and Pathfinder for full creative control. You will also learn how to write effective prompts and understand the commercial-use and intellectual property considerations of AI-generated artwork. By the end of the course, you will be able to apply generative AI confidently to produce professional vector designs in a fraction of the time.

Course Fee

₵1,500.00

Course Date

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Generative Vector Design Essentials in Illustrator

  • Introduction to Adobe Firefly and Generative AI in Illustrator
  • Writing Effective Prompts for Vector Generation
  • Creating Subjects, Scenes and Icons with Text to Vector Graphic
  • Generating Seamless Patterns from Text Prompts
  • Matching Styles with Reference Artwork
  • Editing and Refining Generated Vector Graphics

Topic 2: Advanced Generative Workflows

  • Exploring Color Variations with Generative Recolor
  • Identifying and Matching Fonts with Retype
  • Presenting Designs with AI-Powered Mockups
  • Combining Generative Output with the Pen Tool and Pathfinder
  • Building End-to-End Workflows for Logos, Icons and Illustrations
  • Commercial Use and Intellectual Property Considerations

Course Info

Prerequisite

Basic computer and file-management skills are expected. Familiarity with basic drawing and vector graphics concepts will help you follow the exercises.

Software Requirement

You will need the following for this course:

Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.

Hardware Requirement

Bring a Windows or Mac computer supported by the course software, with a mouse and enough free disk space for exercise files. Check the vendor's memory and graphics requirements before installing.

Bring your own computer and charger, with a reliable internet connection and permission to install the required software. For live online classes, also prepare a microphone or headset.

If you need help arranging a suitable device, contact us before the class to confirm availability.

Job Roles

Job Roles

  • Graphic Designer
  • Illustration Artist
  • Logo Designer
  • Branding Designer
  • Visual Identity Designer
  • UI/UX Designer
  • Vector Artist
  • Print Designer
  • Motion Graphics Designer
  • Apparel and Merchandise Designer
  • Packaging Designer
  • Web Designer
  • Icon Designer
  • Digital Media Artist
  • Signage and Banner Designer

Trainers

Trainers

Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.

Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.

Visual design generated from a prompt is a recurring theme in the work of Dr. Alfred Ang, a full-stack AI developer, Agentic AI solution architect, corporate trainer and CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses. Dr. Ang builds intelligent agents and business solutions end-to-end, spanning front end, back end, databases, cloud deployment and native mobile apps, and a good number of the 300+ public repositories deal directly with graphics. One is a logo maker in which a user describes a brand and receives three generated logo options from Gemini or OpenAI image models, ready to download. Another is a browser-based whiteboard with a vector toolbar of fourteen shapes and fourteen flowchart elements. Dr. Ang has also built a Procreate-style sketching studio for iPhone, iPad and Android tablets with pressure-sensitive brushes, layers, colour fill and symmetry tools, an offline fractal art generator that grows Mandelbrot and Julia patterns into wallpaper-ready images, and a QR code generator with selectable colour schemes and embedded logos. In addition, Dr. Ang designs the branding, icons and store artwork for a large catalogue of iOS and Android apps, and generates cover images and badges for the Tertiary Courses catalogue. This work requires a constant balance between what generative AI produces quickly and what a designer still needs to control precisely, which is the heart of using generative features inside Illustrator. Dr. Ang therefore understands both how image models interpret prompts and why clean, editable vector output matters when artwork must scale from a favicon to a banner.

In Generative AI for Adobe Illustrator, Dr. Ang applies that experience to Adobe Firefly, the generative engine built into Illustrator. The first topic, generative vector design essentials, introduces Text to Vector Graphic for producing scenes, subjects, icons and patterns from a prompt, and shows how to write prompts that specify style, level of detail and colour so the output is close to usable from the start. Learners then practise the step that matters most: inspecting the generated paths, cleaning up anchor points, regrouping shapes and adjusting strokes so the artwork is genuinely editable rather than a tangle of fragments. The second topic, advanced generative workflows, covers Generative Recolor for exploring colour themes, Generative Shape Fill for adding detail inside existing shapes and Generative Pattern for seamless repeats, and then combines these features into an end-to-end workflow for a logo, an icon set or a promotional illustration. Drawing on lessons from building image-generation tools, Dr. Ang explains why prompts behave differently across styles, how to keep a set of assets visually consistent and what to consider regarding commercial use and brand guidelines. The class is hands-on, with short demonstrations followed by guided exercises and a final mini project, and suits designers, marketers and beginners with basic Illustrator familiarity. Learners leave with practical techniques for producing professional vector artwork far faster than before. To see the design and image-generation projects behind this approach, visit https://github.com/alfredang.

Review

Customer Reviews (9)

Practical and relevant Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 6/26/2026)
Learned a lot Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 3/9/2026)
Would attend again Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 2/21/2026)
Learned a lot Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 3/23/2025)
Would attend again Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 1/18/2025)

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