Course for individuals
Gen AI Internship and Placement Assistance
The Gen AI Internship is a comprehensive 6+ month live cohort bootcamp designed to equip participants with the skills and knowledge required to excel in the field of generative AI product engineering. Participants will receive hands-on training, work on real-world projects, earn certificates, and get assistance with job placements in the industry.
- Level
- Practitioner
- Format
- Live cohort
- Duration
- 960 hours
- Outline
- Published when the course opens
- Certificate
- When every lesson is complete
Curriculum
What you will learn
The chapter-by-chapter outline is published here when the course opens.
Until then, the description above is the syllabus.
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Plans
- Every lesson, on any device, with your place saved
- Questions answered in each lesson’s discussion
- A certificate with its own verification page
Enrolment is not open for this course yet.
Ask us on WhatsApp (opens in a new tab)Questions
Before you enrol.
How do I join a batch?
Apply with your Google sign-in and answer a few questions. A counsellor calls you, then you get a written offer naming the batch, the fee and how you pay. Accepting it holds your seat; paying the seat block confirms it.
How long do I have access?
For the period set for your batch, written in your offer. Your progress is saved to your account.
How do I get a certificate?
Complete every lesson, pass the quiz that closes each chapter and attend the share of classes your batch asks for. When the batch completes we request it for you; it is issued after review and has its own page anyone can use to verify it.
Where do I ask questions?
Each lesson has its own discussion. Instructors answer there, so the answer stays next to the material it is about.
More questions2
What if I need a refund?
Refund requests are reviewed case by case under the refund policy, linked at the foot of every page.
Can my whole team take this course?
This course is built for one learner at a time. For a team we plan a cohort on the same ground, with labs on your use cases and an assessment before and after; start from the link below.