Databricks Certified Generative AI Engineer Associate [2026] — 90% Off Coupon

[NEW - 2026 Updated] Prep for the Databricks GenAI Engineer Exam with Instructor led Hands-On Labs and Videos

4.6 118 students enrolledCreated by Kuljot Singh BakshiLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

Course Title: Databricks Certified Generative AI Engineer Associate [2026]
Provider: Udemy (listed via CourseSpeak)
Instructor: Kuljot Singh Bakshi
Coupon Verified On: February 15, 2026
Difficulty Level: All Levels
Category: IT & Software
Subcategory: IT Certifications
Duration: 7h of on-demand video
Language: English
Access: Lifetime Access · Mobile & TV compatible
Certificate: Certificate of completion included
Top Learning Outcomes: Understand the Databricks Generative AI architecture, including foundation models, embeddings, vector search, and Mosaic AI tooling. · Build and deploy Retrieval-Augmented Generation (RAG) applications using Databricks, Vector Search, and MLflow. · Apply prompt engineering techniques to improve LLM accuracy, grounding, and reliability in Databricks workloads.
Prerequisites: Basic understanding of Python programming (loops, functions, and working with notebooks). · A Databricks Managed version by a Cloud Service Provider (CSP)
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

Understand the Databricks Generative AI architecture, including foundation models, embeddings, vector search, and Mosaic AI tooling. .
Build and deploy Retrieval-Augmented Generation (RAG) applications using Databricks, Vector Search, and MLflow. .
Apply prompt engineering techniques to improve LLM accuracy, grounding, and reliability in Databricks workloads. .
Use Databricks Vector Search and embeddings effectively for semantic search, document retrieval, and AI applications. .
Evaluate, monitor, and version GenAI models using MLflow, experiments, and production best practices. .
Implement responsible and secure GenAI solutions following Databricks governance, access control, and cost-aware design. .
Prepare confidently for the Databricks Certified GenAI Engineer Associate exam with exam-focused explanations and real-world examples.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

Basic understanding of Python programming (loops, functions, and working with notebooks).
A Databricks Managed version by a Cloud Service Provider (CSP)
A Databricks account or workspace access (Community Edition or enterprise) for hands-on practice.
Interest in Generative AI and LLM-based applications — no prior GenAI experience is required.

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Kuljot Singh Bakshi. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

Instructor: Kuljot Singh Bakshi
Field: IT & Software
Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Databricks Certified Generative AI Engineer Associate [2026] Coupon Worth It?

Databricks Certified Generative AI Engineer Associate [2026] is a it & software course offered on Udemy by instructor Kuljot Singh Bakshi, spanning 7h of on-demand content. It holds a 4.6/5 rating from over 118 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on February 15, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.6/5) and enrollment numbers (118 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of February 2026. For individual student reviews, visit the course page directly.

4.6
118 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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