Curated learning path for No-Code AI & Automation. Build practical skills through expert-selected courses.
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Basic algebra and statistics helpful but not required
Any programming experience; Python preferred
Follow these courses in order to complete the learning path. Click on any course to enroll.
A free course that teaches how to use AI for delegating tasks, brainstorming solutions, and freeing up time from repetitive work, utilizing tools like Gemini.
Master Data Science Workflows with H2O: From Prep to Deployment & Generative AI with Michelle Tanco and Jon Farland!This course equips you with H2O's suite of cutting-edge tools, such as Driverless AI, H2O Actions, the Wave App, Gen AI App Store, LLM Data Studio, H2O LLM Studio, Enterprise GP Te, h2oGPT, and Eval Studio. In this comprehensive course, you will develop a thorough understanding of data preparation and visualization using H2O's intuitive tools, enabling you to efficiently clean, transform, and explore data to uncover actionable insights without the traditional complexities of data wrangling. Dive deep into automated machine learning mastery with Driverless AI, leveraging its automation capabilities to streamline model building processes, allowing you to focus on strategic analysis and solving complex problems effectively. Gain expertise in seamless model deployment techniques, ensuring that your models translate into impactful business outcomes with ease and efficiency. Explore the best of what generative AI has to offer with Enterprise GP Te and H2OGPT, where you will delve into advanced tasks such as text generation, language translation, and creative content development, empowering you to innovate and excel in data science and business decision-making. Join us on this transformative journey to elevate your skills and harness the full potential of H2O's tools for driving data-driven insights and strategic business success.Come aboard our dynamic course and elevate your data science skills!
A warm welcome to the Data Science, Artificial Intelligence, and Machine Learning with Python course by Uplatz.Python is a high-level, interpreted programming language that is widely used for various applications, ranging from web development to data analysis, artificial intelligence, automation, and more. It was created by Guido van Rossum and first released in 1991. Python emphasizes readability and simplicity, making it an excellent choice for both beginners and experienced developers.Data Science Data Science is an interdisciplinary field focused on extracting knowledge and insights from structured and unstructured data. It involves various techniques from statistics, computer science, and information theory to analyze and interpret complex data.Key Components:Data Collection: Gathering data from various sources.Data Cleaning: Preparing data for analysis by handling missing values, outliers, etc.Data Exploration: Analyzing data to understand its structure and characteristics.Data Analysis: Applying statistical and machine learning techniques to extract insights.Data Visualization: Presenting data in a visual context to make the analysis results understandable.Python in Data Science Python is widely used in Data Science because of its simplicity and the availability of powerful libraries:Pandas: For data manipulation and analysis.Num Py: For numerical computations.Matplotlib and Seaborn: For data visualization.Sci Py: For advanced statistical operations.Jupyter Notebooks: For interactive data analysis and sharing code and re
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Curated learning path for No-Code AI & Automation. Build practical skills through expert-selected courses.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Build and train machine learning models from scratch; Understand supervised, unsupervised, and reinforcement learning paradigms; Evaluate model performance using industry-standard metrics.
It's pitched at beginner level — a solid starting point if you're new to the topic.
3 curated courses, sequenced from foundational to advanced.
Around $40 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.