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Discover this Free Udemy Course on local AI model deployment with DeepScaler. Start learning today!
In the age of artificial intelligence, understanding how to build and deploy AI models locally can set you apart from the crowd. “Mastering DeepScaleR” is a hands-on course designed for those eager to dive into the world of AI development without the burden of cloud-based dependencies. This course equips you with the skills needed to harness the power of open-source AI frameworks to create intelligent applications directly on your machine.
The curriculum starts by guiding you through the setup of DeepScaler and Ollama on popular operating systems like Mac, Windows, and Linux. You’ll learn to run AI models locally, enabling you to build robust applications such as AI-powered chatbots and math solvers. With a strong emphasis on fine-tuning models, you will be trained to customize DeepScaler using LoRA and QLoRA techniques to adapt the AI to specific tasks, whether it’s for enhancing financial applications, healthcare tools, or legal analysis.
You will not only develop and deploy an AI-powered math solver and chatbot but also deepen your understanding of low-latency inference and optimization techniques. By the end of this course, you will have a portfolio of locally running AI applications without incurring the high costs associated with cloud services. If you are enthusiastic about AI development and want to learn the practical skills necessary for deploying models effectively, this course is your key to success.
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