GENERATIVE AI
COURSE OVERVIEW
The Generative AI Curriculum is designed to equip learners with essential knowledge and practical skills to understand, build, and implement generative AI models. The course covers foundational concepts, ethical considerations, and hands-on experience with generative tools like GPT, DALL-E, and other AI frameworks. Participants will learn to create text, images, and other media using generative AI models and explore their applications across various industries. By the end of this course, participants will have developed a comprehensive generative AI project, showcasing their understanding and practical application of AI technologies.
Course Structure
Duration: 12 Weeks (3 Sessions per Week).
Session Length: 3 hours each, with practical exercises, assignments, and project work.
Format: Hybrid (In-person/Online).
Target Audience: Developers, data scientists, business professionals, and individuals interested in exploring AI applications.
Session Length: 3 hours each, with practical exercises, assignments, and project work.
Format: Hybrid (In-person/Online).
Target Audience: Developers, data scientists, business professionals, and individuals interested in exploring AI applications.
Program Eligibility
A good working laptop (8 GB RAM or above, 500GB HDD or 256 SSD)
A stable internet connection
A serene environment for virtual sessions
Ability to pursue the program on a full-time basis
Prior expression of leadership potential
Throughout the program, participants will work on a Capstone Project, where they will develop a comprehensive generative AI solution. This project will be presented during the final week at a Pitch Day event, where students will receive feedback from mentors and potential investors.
Our Admission Process
Step 1 - Apply
Submit your application. Share a bit about yourself and what’s driving you to start a career in data science.
Step 2 - Admission Assessment
Highlight both hard skills (e.g., software proficiency) and soft skills (e.g., communication) that are relevant to the job you’re applying for.
Step 3 - Admissions Interview
Speak with an Admissions representative in a non-technical interview. This is an opportunity for us to get to know each other a little better. Nothing technical – just a friendly conversation.
Step 4 - Admissions Decision
Receive your acceptance decision from Admissions. This usually happens within 3 business days.
Step 5 -Pre-work
If accepted, you’ll begin course pre-work to prepare for the first day of class. Our courses pre-work consists of 20-40 hours of lessons.
Our Three Pillars
Blended Peer Learning
You will be placed in small groups to work together as a team and complete academic goals in real-time virtual classrooms and during in-person sessions; which has goals at the individual and group level.
Mentor-Based Learning
A mentor will be available at all times during office hours to provide help and evaluate your work. We offer you a supportive and engaging work environment, where you can feel free to make mistakes and learn.
Projects-Based Learning
Our learning methodology focuses 100% on the needs of today’s market. You will work on real-world projects similar to those you’ll find on the job and complete them using the same tools used by professionals.
Job Opportunities
Job opportunities you can apply for at the end of the training includes:
AI Developer
Data Scientist
AI Ethics Specialist
Generative AI Consultant
Freelance Writer/Content Creator
AI Product Manager
Generative AI Software Engineer
AI Trainer/Content Creator (for AI models)