Questions Before You Start Building?
Find clear answers about the Generative AI Launchpad, projects, learning format, tools, certificate, and enrollment.
Can a complete beginner take this course?
Yes. The course begins with foundational concepts and introduces the technical material progressively. It includes both code and no-code approaches to help beginners understand how AI applications work.
Do I need prior coding or programming experience?
No prior professional programming experience is required. The course covers the relevant Python foundations and guides you through the code needed for the applications.
What will I build during the course?
You will build practical applications involving Generative AI foundations, Retrieval-Augmented Generation, AI agents, multimodal AI, application deployment, and a final capstone project. See the What You'll Build page for the exact project list.
Will the projects be hands-on?
Yes. The course is designed around guided application building. You will work through projects, code walkthroughs, assignments, and a capstone rather than only watching theoretical lessons.
How much time should I commit each week?
Plan for approximately one to two hours per week for the core learning path. You can spend additional time exploring the projects in greater depth or complete the course sooner if your schedule allows.
Are the video lessons available on demand?
Yes. The video lessons are available on demand, allowing you to learn at a time that fits your schedule and revisit lessons whenever you need to review a concept.
What topics are covered?
The course covers Generative AI foundations, Python, prompt engineering, RAG, embeddings, vector databases, AI agents, n8n, multimodal AI, application deployment, model customization, local language models, and a capstone project.
Do I need to pay for additional AI tools or software?
Students can begin with free versions of the tools where available. Some AI platforms may require optional usage credits depending on how much you use them.
Will I receive a certificate?
Yes. Students who complete the stated course and capstone requirements receive a certificate that they can showcase on their resume and LinkedIn profile.
How does the course help with my resume and portfolio?
You will have practical projects to describe, demonstrate, and link from your resume or LinkedIn profile. The course also includes guidance on presenting your projects and explaining your technical decisions.
Is the course useful for Forward Deployed Engineer roles?
The course builds several useful foundations for modern AI implementation roles, including application building, deployment, workflows, and project communication. The capstone and project presentation can also help you practice solving a real-world problem. The course does not guarantee a specific job or role.
What support or guidance is included?
Instructor is available for doubts clarifications through email. There will also be monthly live interactive sessions with instructor to clarify your doubts.
How long will I have access to the course?
1 Year from enrollment.
Can I complete the course faster than eight weeks?
The course is organized as an eight-week learning path, but students may be able to complete it sooner if they have more time available and the course access terms allow it.
Will the course guarantee a job?
No course can guarantee a job. This course is designed to help you build practical skills, projects, and communication material that can strengthen your portfolio and interview preparation.
What is the refund or cancellation policy?
The course is not refundable. Please read the full refund and cancellation policy from our website footer.
How do I enroll?
Click View Course & Enroll, register on the LMS, complete the payment process, and begin the course according to the access terms shown there.