Data Science Dojo

Data literacy is a crucial but rare skill to have for any modern-day business. Our bootcamp curriculum teaches working professionals how to extract actionable insights from data enabling you to solve real-world problems in the shortest duration possible. A series of live in-person instructor-led tutorials will teach you the fundamentals of data science and equip you with skills in R programming and Azure machine learning tools for data science. Our carefully crafted curriculum provides the right mix of theoretical concepts, hands-on practical exercises, and business interpretation of results. Who should attend? Working professionals who want to add data science to their current positions, or who want to learn more about this new field. Program Requirements: You should have an interest in data science and data engineering as well as knowledge of at least one programming language. However, many of our attendees come to us with little to no programming experience. Our pre-bootcamp materials will get you where you need to be to hit the ground running.

According to Gartner, there will be 20 billion connected devices on the planet by 2020. These connected devices, sometimes referred to as the Internet of Things (IoT), range from personal gadgets like mobile phones and wearables to home appliances and automobiles. As industries rely more and more on automation, we will see industrial equipment rely more and more on sensor data. This introductory course will give attendees an introduction to the exciting field of the Internet of Things. We will start with a gentle introduction, understand the architecture of an IoT application and build working prototypes for different industries. We will also discuss the pertinent legal, ethical, security and data governance issues. Who should attend? This 2-day course is open for all working professionals who want to get hands-on, real-world, practical learning on IoTs. Program Requirements: You should have an interest in data science and data engineering. Having programming experience is not a pre-requisite for enrollment in this course.

Data Science Dojo’s course for managers and business leaders covers an overview of key machine learning and data science subjects to understand the landscape, business challenges, and important core concepts of machine learning and data science. The online course is instructor-led and taught live so you can still gain the advantage of being coached through your learning experience in a more dynamic, interactive environment than self-paced online courses. We believe learning data science properly requires an attentive approach to teaching, so our online course follows the same principle as our in-person experience, where students are taught with real instructors and will take part in the theory, practical exercises, activities, questions and answers, and more like they would in a classroom.

Pre-trained Large language models like ChatGPT offer impressive capabilities but they cannot be used in scenarios where the underlying data is proprietary and requires industry-specific knowledge. Businesses are rushing to build custom LLM applications that offer enhanced performance, control, customization, and most importantly, competitive advantage. Welcome to Data Science Dojo's Large Language Models Bootcamp. This 5-day, 40-hour bootcamp, available both in-person and online, is designed to help you master LLMs. Whether you're just starting with LLMs, a data professional looking to supercharge your skillset, or a product leader aiming to leverage LLMs to enhance your products, processes, and services, this bootcamp will help you achieve your goals. Course Highlights 1. Generative AI and LLM Fundamentals: A comprehensive introduction to the fundamentals of generative AI, foundation models, and Large language models. 2. Canonical Architectures of LLM Applications: An in-depth understanding of various LLM-powered application architectures and their relative tradeoffs. 3. Embeddings and Vector Databases: Hands-on experience with vector databases and vector embeddings. 4. Prompt Engineering: Practical experience with writing effective prompts for your LLM applications. 5. Orchestration Frameworks: LangChain and Llama Index: Practical experience with orchestration frameworks like LangChain and Llama Index. 6. Deployment of LLM Applications: Learn how to deploy your LLM applications using Azure and Hugging Face. 7. Customizing Large Language Models: Practical experience with fine-tuning, parameter-efficient tuning, and retrieval parameter-efficient + retrieval-augmented approaches. 8. Building An End-to-End Custom LLM Application: Create a custom LLM application on selected datasets. By the end of the bootcamp, you will be capable of building LLM-powered applications on any dataset of your choice.

Python has quickly become one of the most popular programming languages among individuals and organizations around the world. Its general purpose appeals to many different industries and allows professionals to transfer their skillset across careers, especially data science, machine learning, and artificial intelligence. This Python bootcamp focuses specifically on data science. Throughout the course, you will practice the basics, learn more advanced techniques, and finish with a project to put all your newfound knowledge to use. In 5 days (3 hours per day) you can get started and polish your Python abilities for data science and analysis.

Data Science Dojo’s bootcamp course covers several important machine learning and data science subjects to equip you in implementing predictive models and data pipelines end-to-end, understanding the underpinning theory and concepts, and ingraining the critical thinking process behind data science. The online course is instructor-led and taught live so you can still gain the advantage of being coached through your learning experience in a more dynamic, interactive environment than self-paced online courses. We believe learning data science properly requires an attentive approach to teaching, so our online course follows the same principle as our in-person experience, where students are taught with real instructors and will take part in the theory, practical exercises, activities, questions and answers, and more like they would in a classroom.