Complete Generative AI Roadmap 2024 🔥 How To Fine-tune, Build & Deploy LLM & Diffusion Models

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In this complete Generative AI Learning Path & Roadmap 2023, we are going to lay down a comprehensive step-by-step learning plan for you, to become a Developer in the field of Generative AI. If you are curious to push the boundaries of the field, we’ll also give you a plan to further become a Researcher in the field.

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Generative AI Pinnacle Program 🔥
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Build a Career in Gen AI - without leaving your job:
✅ 200+ hours of learning
✅ 10+ real-world projects
✅ 1:1 mentorship
✅ 75+ sessions

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Generative AI Roadmap (Part-1) ⚡️
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Generative AI Developer learning path is further split up into two levels: Developer Level-1and Developer Level-2. As Developer Level-1, you have a deep understanding of Prompt Engineering & hands-on with all the major Prompt Engineering Techniques, which enables you to write effective prompts - to elicit desired responses. You also have an understanding of Generative Model APIs. And of course, this would require you to have knowledge of a Programming Language (preferably Python) to consume APIs. And once you have a strong Prompt Engineering skill, and a sound understanding of Model APIs, you are all set to develop your GenAI Tools. Further ahead, as Developer Level-2, you have a functional understanding of the Machine Learning - that goes into building Large Language Models. With this knowledge, as level-2 developer, you can fine-tune Pre-trained Large Language Models on your domain-specific downstream tasks.

So, whether you are a: Product Manager, Entrepreneur, Software Development, IT Consultant, into Data Tech Roles (Data Science, Data Analysis, Data Engineer), Academic Researcher, etc., this Generative AI roadmap is for you. More so, if you are a student, a working professional in an entry-level role, or an experienced manager/leader, this video is for you. Or else, if you are studying/working in domains like Data Tech, Finance, IT Services/QA, Operations & Supply Chain, Media, Sales, and Marketing; you should learn Generative AI & develop a functional understanding of how to use it.

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🔥 Sections
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00:00 Introduction
01:23 Generative AI Learning Path
02:14 DEVELOPER of Generative AI
03:41 DEVELOPER Level-1 Roadmap
08:28 DEVELOPER Level-2 Roadmap
12:55 RESEARCHER of Generative AI
15:20 FREE Gen AI Certification Course

In this Generative AI Learning Roadmap (Part-2), we'll give you a step-by-step guide on achieving two levels of proficiency, namely:
👉 Generative AI Developer Level-1 - who develops AI Tools using Generative Model APIs,
👉 Generative AI Developer Level-2 - who develops custom AI Tools by fine-tuning Generative Models,
👉 Generative AI Researcher - who pushes the Generative AI field forward by building Model Architectures and training Models from Scratch.

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Reference Videos 🔥
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Stay tuned for more exciting videos on Generative AI.

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You're making education engaging and accessible for everyone. #NurserytoVarsity

NurserytoVarsity
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Thank you so much. The explanation was really useful!

enehuxd
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thank you so much the value and direction provided by this single video is immense

szngktz
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From where we should learn prompt engineering, using of API and LLM frame with hands on experience?

vishalkumarsingh
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Bing is not powered by Dall-E but by GPT3.5 or you can toggle to GPT4

johleonhardt
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Sir i need some personal level guidance from you on developer level-2 portion how can i contact you ?

_sayantanpodder
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Hello Sir,
Coupon code is inactive in udemy. is it expired?

RG-ybyn
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Is there any Pretrained Models around bank or finance fraud detection, which provides APIs. I want to start with those