AI Training
Our Artificial Intelligence (AI) training courses teach your team how to combine deep learning, Machine Learning (ML), and AI practices to build AI solutions for unique business challenges. Our AI courses include topics on Ethical AI, AI Security, Generative AI, AI Engineering, Large Language Models (LLMs), and more.
We can customize any AI course to meet your team's experience levels and goals.
Leverage the power of ChatGPT to create innovative conversational AI applications for businesses or personal projects. This ChatGPT course gives attendees a solid understanding of essential concepts, techniques, and practical skills for creating, fine-tuning, and deploying chatbots powered by ChatGPT.
Web Age's 1-day Generative AI (Gen AI) course teaches the core concepts and components that power Gen AI. Students explore real-world applications and understand the challenges and ethical considerations this technology may present. This course also covers machine learning and effective prompting techniques.
In this AI course, attendees master the AI auditing processes and understand the importance of making AI transparent through explainability techniques. Students also learn AI's role in various sectors, best practices for system security, and the intricacies of AI design and deployment.
This Artificial Intelligence and Machine Learning (AI/ML) course teaches you the fundamentals of these rapidly evolving fields, including their definitions, key components, differences, types, applications, and ethical implications. You will also learn how to analyze real-world use cases and applications of AI/ML.
This Generative AI (GenAI) training teaches attendees the fundamentals of Deep Learning and GenAI, with participants building the skills to apply these powerful technologies to real-world scenarios. The course introduces attendees to key concepts, tools, and frameworks like TensorFlow and Keras, as well as neural network architectures like CNN, RNN, and Transformers. Students learn about large language models (LLMs), GANs, and diffusion models, and their applications in diverse domains.
This Generative AI Engineering course teaches students the applications and the techniques used to develop and engineer these systems. Attendees learn how to build and evaluate Generative AI models for a variety of tasks such as text generation, image synthesis, and music composition.
This Artificial Intelligence (AI) training gives developers a technical introduction to large language models (LLMs) and teaches them how to increase their coding productivity with various AI tools, including ChatGPT and GitHub Copilot.
This Artificial Intelligence and Machine Learning (AI/ML) Tools training course gives attendees an in-depth examination of the tools and techniques used in monitoring AI and ML models, focusing on those used in production. Participants learn how to detect and address model drift over time and monitor for data quality, privacy, and security.
In this AI Solutions course, participants learn how to fine-tune large language models (LLMs) like Chat-GPT to build custom AI solutions tailored to specific use cases and domains. This course covers fine-tuning fundamentals, including data preparation, model selection, and training best practices. Participants will also learn how to evaluate and optimize fine-tuned models for improved performance, fairness, and safety.
In this non-technical introduction to Artificial Intelligence (AI) and Machine Learning (ML) course, managers and leaders learn the fundamentals and basic techniques to successfully develop strategies for leveraging AI and ML to achieve business goals.
This GitHub Copilot course teaches programmers how to use GitHub Copilot’s Generative AI capabilities to produce code they would have to write themselves. After taking this class, participants supercharge their coding workflow and write more confidently, using Copilot as a programming partner.
