Choose Your Path
12 - Week Career Tracks
- Industry-driven projects: Engage in real-world projects that represent practical application of learned skills and enhance portfolios.
- Comprehensive 21st Century Curriculum: Each 12-week track features a well-structured curriculum designed to provide essential skills and knowledge.
- Career support: Dedicated career support, including resume reviews and interview preparation, ensures graduates are job-ready upon completion.
Cybersecurity
Build strong foundations in digital defense, cyber hygiene, and threat awareness while learning how to protect systems, data, and users in a connected world.
Software Engineering
Learn to design, build, test, and improve real software products through hands-on coding, problem-solving, and project-based development.
Cloud Computing
Gain practical cloud skills by learning how modern digital services are built, connected, and scaled across secure cloud environments.
Robotics and IoT
Discover how smart devices, sensors, and connected systems work together to solve real problems through practical, future-facing innovation.
Data Engineering
Learn how data moves from source to system by building skills in pipelines, transformation, storage, and reliable data infrastructure.
Data Science
Use data to uncover patterns, build models, and generate insight that can inform decisions, innovation, and real-world impact.
AWS DevOps
Develop practical DevOps skills for building, testing, deploying, and monitoring applications in modern cloud-based environments..
Artificial Intelligence
Build a strong foundation in applied AI by exploring intelligent systems, practical use cases, responsible AI, and real-world problem-solving with modern AI tools.
4 - Week Skills Sprints
- Flexible Learning Options: Tailor your learning with online, hybrid, or in-person modes to suit your schedule and preferences.
- Hands-On Projects: Engage in practical assignments that allow you to apply skills in real-world scenarios for effective learning.
- Industry & domain relevant skills.
GenAI - Gemini Mastery
A fast, practical introduction to using Gemini for research, ideation, productivity, and everyday problem-solving in school, work, and creative projects.
AI Agents; Design, Develop & Deploy
Explore how intelligent AI agents are designed and deployed to automate tasks, connect tools, and deliver real-world workflow value.
GenAI - ChatGPT Mastery
Learn how to use ChatGPT to write better, think faster, automate routine tasks, and build practical workflows for study, work, and innovation.
Data Analytics & Visualization
Turn raw data into clear dashboards, charts, and insights that support better decisions and stronger business or project communication.
Data Storytelling
Learn how to turn numbers into compelling stories by combining data, visuals, and narrative to influence decisions and inspire action.
Canva Mastery
Create polished digital content with confidence; from presentations and social graphics to branded visuals that communicate ideas with clarity and style.
GenAI - Claude Mastery
Develop confidence using Claude for long-form thinking, document analysis, structured writing, and deeper reasoning across academic and professional tasks.
Tuition and Fees
IADL Tuition & Fees are designed to be simple and transparent.
Tuition + Registration + Labs: KES 35,000/ course
- Certification Exam Fee: Certification exam fees will vary depending on the specific certification.
- Payment Options: Pay in full, or in 2 installments.
- Financial Support: Scholarship or partner support may be available for eligible learners.
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- 4-Week Foundations
- 8–12 hours/week
- Digital Fluency Outcome
- Basic Career Support
Tuition + Registration + Labs: KES 75,000/ Course
- 12-Week Accelerator
- 12–18 hours/week
- Portfolio-ready Projects
- Full Career Support(Mock interviews, CV)
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- Certification Exam Fee: Certification exam fees will vary depending on the specific certification.
- Payment Options: Pay in full, or in 2 installments.
- Financial Support: Scholarship or partner support may be available for eligible learners.
how we work
Responsible AI Policy
IADL integrates AI into learning under strict academic integrity guidelines.
Students must:
- Disclose AI assistance
- Validate outputs through testing
- Avoid blind submission
- Respect intellectual property
We train learners to use AI properly not dependently.
Academic Expectations
All learners must:
- Maintain minimum 80% attendance
- Submit assignments on time
- Maintain GitHub history (where applicable)
- Present and defend capstone projects
- Demonstrate independent understanding
At the end of the training learners will have a portfolio of their work developed.
Career Preparation
Career support includes:
- CV & LinkedIn optimization
- Portfolio review
- Mock interviews
- Interview preparation workshops
- Alumni community access
Learner improve their employability rate by up to 70%.