We’ve heard some good things about this 6 months course (but we have not attended) by Caltech University. It looks to be a great course, by a great university, that aims to accelerate careers with their AI Bootcamp and Master skills training.  If you attend, please provide us some feedback on your experience.

This course is designed for leaders seeking tools and resources in the realm of AI and machine learning. It’s an on-campus executive program that focuses on the intersection of policy and technology. The goal is to enhance leadership capabilities in AI, offering a balance between innovation and risk mitigation without stifling creativity.

Experts advocate transitioning from data-driven to AI-driven workflows for faster decision-making, expecting over 10 million new jobs. With extensive AI investments, there’s a rising demand for talent, anticipating a 71% increase in global AI and Machine Learning skills in the next five years. Organizations globally seek qualified professionals as the AI field evolves.

Embark on a virtual journey into the classrooms of Stanford professors at the forefront of the AI revolution. These graduate and professional programs offer comprehensive training in the principles and technologies of AI, covering logic, knowledge representation, probabilistic models, and machine learning. Complete the programs entirely online, at your own pace, to master skills that enhance your resume with a Stanford graduate or professional certificate.

Build 5 AI (incl. ChatGPT)
Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications! You will learn: Q-Learning, Deep Q-Learning, Deep Convolutional Q-Learning, A3C (Asynchronous Advantage Actor-Critic), fine-tuning a powerful pre-trained LLM (Llama 2 by Meta) with Hugging Face.

The Ultimate Artificial Intelligence & Machine Learning course for CxOs, Managers, Team Leaders and Entrepreneurs. You will learn how can you apply Artificial Intelligence and Machine Learning in your areas of functions and you will also learn about the disruption happening in several domains and industries because of AI and ML.

Take this course to advance in AI, focus on understanding its current and future potential, and learn to use generative models for prediction. Develop skills in managing AI projects and grasp technical aspects for effective communication with technical teams. Be aware of potential pitfalls in new technologies. Enhancing your credibility in AI leadership can be boosted by obtaining a certificate from UC Berkeley Executive Education.

In this course, you’ll learn to design and implement an end-to-end machine learning (ML) production system. You’ll cover project scoping, data preparation, modeling, and deployment. Key focuses include establishing a model baseline, managing concept drift, developing, and refining an ML application for production. You’ll also explore building data pipelines, ensuring data quality, and utilizing data lineage tools. The course emphasizes best practices and progressive delivery techniques for maintaining a reliable, continuously operating production system.

This advanced 5-course specialization on the Google Cloud Platform delves into sophisticated machine learning techniques, providing practical experience in optimizing, deploying, and scaling ML models. Building on the foundational “Machine Learning on GCP” course, it covers scalable and production-ready models for structured and image data, time-series, natural language processing, and concludes with building recommendation systems. The curriculum is designed for sequential learning, so following the course order is advised.

Probabilistic Graphical Models (PGMs) merge statistics and computer science to model complex interactions across large variable sets, crucial for advancements in fields like medical diagnostics and natural language processing. This specialization, through a mix of lectures, quizzes, and hands-on assignments over fifteen weeks, offers deep insights into PGMs. Learners will gain practical skills in applying these models to solve real-world problems, structured into three comprehensive courses.

CS50x, offered by Harvard University, is an introductory course to computer science and programming, welcoming students of all backgrounds, regardless of prior experience. It focuses on teaching problem-solving and algorithmic thinking through a curriculum that covers key computer science concepts like abstraction, algorithms, data structures, and more. The course uses languages such as C, Python, SQL, JavaScript, CSS, and HTML, applying these to practical problem sets drawn from various real-world areas. CS50x is the online counterpart of CS50, Harvard’s most popular course.