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<div style="background:#eeeeee;border:1px solid #cccccc;padding:5px 10px;">Dive into &#39;Generative AI for beginners&#39; a course that condenses 1.5 years of dedicated AI learning from the 1littlecoder channel into a single comprehensive experience to accelerate AI learning. Designed to bridge the gap between AI professionals and novices, this course demystifies AI concepts and practical applications, empowering professionals to integrate AI into their daily work and unleash its potential in their respective fields.</div>
<div style="background:#eeeeee;border:1px solid #cccccc;padding:5px 10px;">&nbsp;</div>
<samp><code><img alt="" src="https://appxdb.s3.amazonaws.com/paperimages/1703157811SCR-20231221-ng0.png" /></code></samp>
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<samp><code>What will you learn in Generative AI for Beginners Course:</code></samp>
<h3>&nbsp;</h3>
<code>How to get the best out of this course:</code>
<ul>
	<li>
	<code>The Path to Beginner-level Gen AI Engineer</code>
	</li>
</ul>
<code>Generative AI &amp; Large Language Models</code>
<ul>
	<li>
	<code>Generative AI Introduction</code>
	</li>
	<li>
	<code>Decentralized AI &amp; LLM Origins</code>
	</li>
	<li>
	<code>Different Types of Large Language Models</code>
	</li>
	<li>
	<code>How to choose your LLM? (LLM Leaderboard)</code>
	</li>
</ul>
<code>Large Language Models (Hands-on) Tutorials</code>
<ul>
	<li>
	<code>Running LLMs on Google Colab (Mistral 7B)</code>
	</li>
	<li>
	<code>Running LLMs 100% Locally on CPU (LM Studio &amp; Ollama Tutorial)</code>
	</li>
	<li>
	<code>Running LLMs on the Cloud (RunPod Tutorial)</code>
	</li>
	<li>
	<code>Getting the best out of LLMs (Prompt Engineering)</code>
	</li>
</ul>
<code>Large MultiModal Models (LLMs)</code>
<ul>
	<li>
	<code>The Rise of LMMs (Large MultiModal Models - GPT-4 Vision)</code>
	</li>
	<li>
	<code>Truly Multi Modal (Google Gemini)</code>
	</li>
	<li>
	<code>GPT-4V Prompt Engineering Tips (Vision Language Model Prompting)</code>
	</li>
	<li>
	<code>Open MultiModal Models (LLaVA)</code>
	</li>
	<li>
	<code>Running LMMs on CPU (LlaVA with Ollama Tutorial)</code>
	</li>
	<li>
	<code>Chat with (MultiModal) LMMs Locally (LlaVA with LMStudio Tutorial)</code>
	</li>
</ul>
<code>AI (LLMs) in Business</code>
<ul>
	<li>
	<code>How to Leverage LLMs in Business (Enterprise Readiness)</code>
	</li>
	<li>
	<code>Applications of LLMs in the Real Life (AI in Business)</code>
	</li>
	<li>
	<code>Hands-on Building LLM QA Chatbot (HuggingFace Zephyr-7B)</code>
	</li>
	<li>
	<code>LLM Fine-tuning with Custom Data (LLama2 QLoRA Fine-Tuning)</code>
	</li>
	<li>
	<code>(QuickBytes) QLoRA Tips</code>
	</li>
	<li>
	<code>LLMs with Custom Knowledge (Local RAG LLM)</code>
	</li>
	<li>
	<code>Getting Structured Output from LLMs (Classical NLP with LLMs)</code>
	</li>
</ul>
<code>Capstone Project</code>
<ul>
	<li>
	<code>Building the Capstone Full-Stack LLM Application (Gradio &amp; Langchain)</code>
	</li>
</ul>
<code>NoCode AI Assistants</code>
<ul>
	<li>
	<code>OpenAI GPTs for No-Code AI Apps (RAG, FunctionCalling)</code>
	</li>
	<li>
	<code>Open AI Store &amp; AI Assistants (NoCode Hugging Face Assistants)</code>
	</li>
</ul>
<code>What can you learn forward</code>
<ul>
	<li>
	<code>What did we not learn in this course&nbsp;</code>
	</li>
</ul>
&nbsp;
<samp><code>Who is this course not for?</code></samp>
<ul>
	<li>
	<samp><code>You already have fine-tuned a Llama or Mistral</code></samp>
	</li>
	<li>
	<samp><code>You know how to build RAG solutions</code></samp>
	</li>
</ul>
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I want to join, but I can&#39;t afford the price
<a href="https://youtube.com/c/1littlecoder">Watch the videos here almost every day, that will give you the knowledge&nbsp;required :)&nbsp;</a>

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