Gemini Enterprise Agent Platform Course - GCP Vertex AI (Udemy.com)

I gave this rating because the guy making the video said something about it. If you ask me this again, I might review the course again.

Why you have not added code resources related to lectures? Why such a mess of missing critical information for practicse?

Good content, elaborate but can be made better with holistic approach. Its too granular and loses focus on the "why" part. It feels like a screen reader describing all the options in google cloud website.

ha sido muy valiosa la calidad del conocimiento compartido

Nice learning experience and thanks for the detailed video along with exmaples

This course exceeded my expectations. It provides a clear, structured path into Vertex AI and Gemini while keeping everything practical and application-focused. What makes it exceptional is how it bridges theory and real-world implementation. It does not just explain machine learning concepts — it shows how to actually deploy, integrate, and scale generative AI solutions on Google Cloud. The sections on Vertex AI, prompt engineering, embeddings, and text generation are especially valuable for anyone serious about building production-ready systems. If you want to move to the next level in developing high-quality multimodal applications (text, image, audio, and video), understanding Vertex AI and Gemini is essential. This course lays the foundation for building intelligent agents, scalable APIs, enterprise-grade generative AI solutions, and multimodal pipelines inside GCP. It helps you understand not only how to generate content, but how to architect systems that combine models, storage, orchestration, and cloud infrastructure into cohesive products. For developers, architects, and AI entrepreneurs who want to build advanced multimodal applications rather than just experiment with prompts, this course provides the right depth and direction. It equips you with the tools and mindset needed to transition from simple AI demos to robust, scalable, production-grade solutions. Highly recommended for anyone ready to build serious generative AI applications on Google Cloud.

Awesome course for GCP Gen AI leader certification and or Machine learning engineer certification both.

I would breakdown the rating into categories: Course material quality : 2/5 Course coverage of Vertex AI: 4/5 Instructor skill level: 4/5 Course staying up to date Google: 3/5 Conceptual overviews: 3/5 Course material: the material is there but the organization of it is lacking and unclear. I would have given it 3/5 if it still worked in 2026 (today is 01/25/2026). However, the upside of having to fix 50% of his code was that I was forced to understand the code and not just copy it in. By the way Gemini was a huge help here. Course coverage: This is a vast topic and Ankit should be commended for putting it all together and understanding it to teach it. I particularly liked : Agent Development Kit footwear ML examples (good that he reused across several sections) Embeddings I question his changing approaches from conda to uv... I understand uv is awesome Instructor skill level: The good: he clearly has the developer instinct to problem solve - and we get to learn this because... the bad: he makes lots of mistakes, which he fixes, but that has to add hours to this course. Course is not up to date: his examples have many deprecated and removed apis vertex gemini the pipelines (kfp) Conceptual overvies: They are acceptable but not inspiring. Summary: I did enjoy the course and did at least 90% of the hands on material. It was ALOT of work. Which means I learned a ton. In the context of my professional life I started this in late October and just finished it (my free trial ends in one hour and 10 minute!) For every hour of video I put in at least 3 hours of course specific work and on top of that I put in another 40 hours fixing things that were out of date and additional hours researching with various AI buddies to dig deeper into GCP, Vertex concepts etc.... so 13.5 + 40 + 40 + 20 = 113.5 hours

Thank you for the course great explanation on each topic.

very nice.can you add more detail in pipeline creation part.