Maven

In this bootcamp, you'll learn to build AI agents that can intelligently perform tasks, make data-driven decisions, and automate complex workflows. With user-friendly platforms like Zapier and Lindy, you'll gain a versatile toolkit to apply within your business constraints. Participate in live build-along clinics with industry experts and follow easy-to-follow guides to confidently navigate advanced tools.

Grow with Google

In this course, you will learn to define and describe the importance of interpretability and transparency in AI. You will explore various tools and techniques used to achieve these goals, gaining practical knowledge in machine learning concepts and practices. This course is designed to boost your cloud career by showcasing the skills you develop.

Tyler Fisk, Founder & Chief NerdMaven

In this advanced course, you'll learn to architect and orchestrate multi-agent workflows using real-world tools. You'll build systems that mimic human experts, create and test AI workflows, and deploy production-ready AI systems. The course is designed for those ready to tackle high-impact, real-world challenges with no-code AI solutions that scale.

Udemy

This bootcamp offers a structured and time-efficient training program to become an AI Engineer. It covers AI principles, Python programming, NLP, and large language models, among other topics. The course is designed to teach interconnected topics seamlessly, providing all you need to become an AI Engineer at a lower cost and time investment than traditional programs.

Marc Sun, ML EngineerDeepLearning.AI

In this course, you will implement and customize linear quantization from scratch, studying the tradeoff between space and performance. You will build a general-purpose quantizer in PyTorch to quantize any open source model, compressing model weights from 32 bits to 8 bits and even 2 bits. This course provides the foundation to explore more advanced quantization methods.

Amir Feizpour, PhDMaven

In this comprehensive bootcamp, you'll learn to build multi-agent applications using LLM systems. Through a structured 3-sprint approach, you'll design, develop, and deploy an MVP, gaining insights into AI agent workflows, tool integration, and system security. Benefit from 1:1 mentorship, live sessions, and a community of peers to support your learning journey.

Younes Bensouda Mourri, FounderDeepLearning.AI

In the Natural Language Processing Specialization, you will learn to use logistic regression, naïve Bayes, and word vectors for sentiment analysis, analogies, and translations. You will also explore dynamic programming, hidden Markov models, and word embeddings for autocorrect, autocomplete, and part-of-speech tagging. Advanced topics include dense and recurrent neural networks, LSTMs, GRUs, and Siamese networks for sentiment analysis, text generation, named entity recognition, and question identification. Finally, you will delve into encoder-decoder, causal, and self-attention models for machine translation, text summarization, question-answering, and chatbot creation.

DeepLearning.AI

This course offers a comprehensive guide to using DSPy for building and optimizing LLM-powered applications. You'll learn to write programs using DSPy's signature-based programming model, debug them with MLflow tracing, and enhance their accuracy with DSPy Optimizer. The course covers chaining DSPy modules, visualizing programs with MLflow, and improving program quality through prompt tuning and few-shot examples.

Hamza Farooq, AI Specialist & Adjunct ProfessorMaven

This course offers a laser-focused and in-depth view of real-world GenAI applications, designed for business leaders rather than developers. It emphasizes use case identification, business value assessment, and strategic deployment considerations. You'll learn to build modern GenAI systems from first principles, grounded in real-world constraints like scale, guardrails, multi-agent workflows, and domain-specific adaptation.

Anthropic Academy

In this course, learners will explore the fundamentals of model context protocols, understanding their significance and applications in various fields. The course is designed to equip participants with the skills needed to effectively implement these protocols, fostering a deeper comprehension of their impact on modern technology. Through interactive learning experiences, students will engage with course materials that enhance their analytical and problem-solving abilities, preparing them for future challenges in the industry.

IBM Training

In this comprehensive course, learners will explore the capabilities of IBM watsonx Orchestrate to build effective automation solutions. The course covers decision modeling and workflow design, providing practical examples to enhance understanding. Participants will gain the skills needed to automate tasks, streamline processes, and improve efficiency in their organizations.

Coursera

In this course, you will explore types of AI, machine learning, the AI development lifecycle, AI governance & risk management, and the legal landscape surrounding AI. You will gain insights into responsible AI principles and frameworks, enhancing your ability to manage AI risks and implement governance effectively.

João Moura, FounderDeepLearning.AI

In this course, you will learn key principles of designing effective AI agents and organizing a team of AI agents to perform complex, multi-step tasks. You will apply these concepts to automate six common business processes. By the end of the course, you will have designed several multi-agent systems to assist you in common business processes and studied the key principles of AI agent systems.

Maven

In this comprehensive bootcamp, you'll explore the most powerful AI tools for educators and instructional designers, gaining hands-on experience with 50 state-of-the-art AI tools. You'll master both structured and conversational prompting techniques, choose from 50 cutting-edge use cases, and ship 4 AI projects. Join a community of like-minded professionals, receive feedback, and leave with the skills to stay ahead of the AI curve.

Microsoft Learn

In this module, you will explore the art and science of working with AI, focusing on Microsoft 365 Copilot. You will learn best practices for using Copilot, how to build effective prompts, and understand extensibility options. This course is designed to enhance your productivity and AI capabilities, making it ideal for IT professionals, business analysts, and developers.

Mindstone

Mindstone’s Enterprise AI Academy focuses on training professionals to use AI for their work. The program enhances participants’ proficiency and comfort with Generative AI, equipping them with the skills to integrate AI tools effectively into their professional tasks. Learners will explore real-world applications, advanced techniques, ethical considerations, and customization strategies, maximizing ChatGPT’s value in their professional work. The program also covers AI ecosystem exploration, AI workflow automation, and strategic integration of AI tools with everyday productivity software.