Pranav RajpurkarDeepLearning.AI
In this Specialization, you will learn to diagnose diseases from x-rays and 3D MRI brain images, predict patient survival rates using tree-based models, estimate treatment effects using data from randomized trials, and automate the labeling of medical datasets using natural language processing. The course covers model interpretation, image segmentation, natural language extraction, and more.
Sung KimDeepLearning.AI
This course provides a comprehensive understanding of pretraining large language models. You'll learn to prepare data, configure models, and assess performance, with a focus on cost-effective strategies. The course covers creating high-quality datasets, using the Hugging Face library, and evaluating model performance with benchmark tasks.
Nikita NamjoshiDeepLearning.AI
In this course, you will learn to retrieve real-time data on global energy mixes and carbon intensity from the ElectricityMaps API. You'll identify power grids that produce electricity from low-carbon sources and run machine learning training jobs using low-carbon electricity. The course will also cover analyzing the carbon footprint of Google Cloud usage data and using the Google Cloud Carbon Footprint tool. By the end, you'll be equipped to make more sustainable decisions in your development processes.
Nikita NamjoshiDeepLearning.AI
In this course, you will explore the properties of word and sentence embeddings and learn how to use them to measure semantic similarity between texts. You will apply text embeddings for tasks such as classification, clustering, and outlier detection. Additionally, you will learn to modify the text generation behavior of an LLM by adjusting parameters like temperature, top-k, and top-p. The course also covers the application of the open-source ScaNN library for efficient semantic search and building a Q&A system by combining semantic search with an LLM.
Assel Mussagaliyeva-TangMaven
In this comprehensive 12-week program, you will learn essential skills to break into the tech industry, including CV building, portfolio development, personal branding, and human-centric skills. The course features weekly live classes with industry experts, mentorship sessions, and practical projects. You will also have the opportunity to participate in the AI for Good Hackathon and BiT APAC Career Accelerator, which can help you secure a tech job. The program is designed to be inclusive and personalized, with a focus on soft skills micro-learning using GenAI and gamification techniques.
Ritesh VajariyaMaven
This course empowers you to lead the AI revolution in your organization. It bridges the gap between technical knowledge and strategic leadership, positioning you at the forefront of the AI evolution. You'll explore AI's essence, its real-world applications, and its business-revolutionizing potential. Equip yourself to spearhead AI initiatives, make informed decisions, and champion ethical AI use.
Rav AhujaCoursera
This specialization provides a thorough introduction to AI, covering its applications, use cases, and impact across industries. Learners will explore key concepts such as Machine Learning, Deep Learning, and Neural Networks, and gain practical experience by building and deploying an AI-enabled chatbot without coding. The course also covers IBM Watson AI services and the creation of intelligent virtual assistants, equipping learners with the skills needed to leverage AI in various scenarios.
Mindstone's CEOMindstone
In this intensive weekend course, you'll move from AI curiosity to confidently leading AI-driven projects. With no coding required, you'll build real applications, develop a working prototype, and leave with a concrete plan to implement AI innovations. Benefit from expert guidance, an exclusive network, and a comprehensive implementation playbook.
Learn how AI applies to real scenarios and workflows.
Harrison ChaseDeepLearning.AI
In this course, you will learn how to build an agent with long-term memory by creating a personal email agent that can respond, ignore, and notify the user using writing, scheduling, and memory tools. You’ll develop your agent’s memory by adding facts to its memory store, providing examples to learn the user’s preferences, and optimizing system prompts to evolve instructions based on previous responses. This course will equip you with the skills to integrate semantic, episodic, and procedural memory into AI agents, enhancing their functionality and user interaction.
Rav AhujaCoursera
This specialization provides a thorough introduction to AI, covering its applications, use cases, and impact across industries. Learners will explore key concepts such as Machine Learning, Deep Learning, and Neural Networks, and gain practical experience by building and deploying an AI-enabled chatbot without coding. The course also covers IBM Watson AI services and the creation of intelligent virtual assistants, equipping learners with the skills needed to leverage AI in various scenarios.
Amit RawalMaven
By the end of this course, you'll be adept at using AI to transform complex data into compelling stories that drive action and impact. You'll learn how AI can augment your analytical capabilities, automate tedious tasks, and provide deeper insights. The course offers step-by-step guidance and over 50 prompts to help you craft impactful narratives using data.
Sebastian WitalecDeepLearning.AI
This course provides a comprehensive understanding of building multimodal search and RAG systems, focusing on the integration of various data types like text, images, and video into AI models. You will learn about contrastive learning for training multimodal models, visual instruction tuning, and the implementation of multi-vector recommender systems that enhance the capabilities of AI applications in industry settings.
Chris ButlerMaven
This course dives into the new paradigms and frameworks product leaders and designers are using to incorporate AI into their products. Through case studies, live workshops, and projects, you will learn to apply ethical, bias, fairness, and other guardrails to AI/ML products. The course features real examples from GitHub, Google, Cognizant, and Facebook Reality Labs’ Portal device.
Ross DawsonMaven
In this transformative course, you will dive deep into the landscape of cognition-enhancing AI, learning how to leverage advanced AI techniques to augment your thinking. You will identify the most impactful use cases for your work and master sophisticated strategies that will take your value creation to new heights. By applying cutting-edge AI-augmented thinking strategies, you will pinpoint the most effective pathways to make smarter decisions, solve problems more creatively, and achieve your goals with greater precision and clarity.
Harrison ChaseDeepLearning.AI
In this course, you will explore the rapidly evolving landscape of LLMs and the libraries that support them. You will learn about new advancements like ChatGPT’s function calling capability and build a conversational agent using LangChain Expression Language (LCEL). The course will cover tasks such as tagging, extraction, tool selection, and routing. By the end of the course, you will be able to generate structured output, use LCEL to build applications, and apply function calling to various tasks.
Bernease HermanDeepLearning.AI
In this course, you will explore new metrics and best practices to monitor your LLM systems and ensure safety and quality. You will learn to identify hallucinations, detect jailbreaks, and identify data leakage. Additionally, you will build your own monitoring system to evaluate app safety and security over time. By the end of the course, you will be able to identify common security concerns in LLM-based applications and customize your safety and security evaluation tools.
Vasudev LalDeepLearning.AI
In this course, you will delve into the fascinating realm of Multimodal RAG, learning how to effectively chat with videos. The course offers a comprehensive understanding of generative AI, supported by practical code examples and video lessons. Designed for intermediate learners, it provides a unique opportunity to expand your AI knowledge and skills.
Karina NguyenDeepLearning.AI
In this course, you'll learn to use OpenAI Canvas to enhance your writing and coding. Discover how to collaborate with ChatGPT for brainstorming, drafting, and refining text or code. Learn to build practical use cases like creating a game app, generating Python code from plot screenshots, and creating SQL databases from architecture images. Understand the model training and design processes that power Canvas.
Cecilia ZinitiMaven
This course will give you practical, immediately useful learnings on actual AI prompting with GC AI or general-purpose tools like ChatGPT or Claude. You'll get a great intro to how AI works, then get your hands dirty with an experienced GC and AI expert to help and push you with tips and tricks. You'll be shocked at the quality of AI legal outputs.
Adrian Gonzalez SanchezDeepLearning.AI
In Building Your Own Database Agent, you will learn to interact with tabular data and SQL databases using natural language, enabling more efficient and accessible data analysis. You will gain hands-on experience with the Azure OpenAI Service, implementing techniques like Retrieval Augmented Generation (RAG) and function calling. By the end of the course, you’ll be equipped with the technical knowledge and practical experience to implement similar systems in your own projects or organizations, enabling more efficient and accessible data interaction and analysis.
Jiantao JiaoDeepLearning.AI
In this course, you will learn two critical skills for building applications with LLMs: function-calling and structured data extraction. You will work with NexusRavenV2-13B, an open-source model fine-tuned for these tasks. The course covers forming prompts with function definitions, using LLM responses to call functions, handling multiple function calls, and building applications that process customer service transcripts. These skills will enable you to create advanced AI agents and assistants for various real-world applications.
Aurimas GriciūnasMaven
This bootcamp offers a comprehensive journey into AI engineering, focusing on building production-grade AI systems. Participants will learn to design, build, and deploy AI applications using cutting-edge technologies like LLM APIs, vector databases, and AI agent libraries. The course emphasizes practical skills, enabling learners to create a capstone project that demonstrates their ability to solve real-world business challenges.
Amit SanganiDeepLearning.AI
In this course, you will learn best practices for prompting and selecting among the Llama 2 & 3 models by using them as a personal assistant to help you complete day-to-day tasks. You will experiment with advanced prompt engineering techniques, like few-shot prompting to get Llama 2 to classify the sentiment of text messages, and chain-of-thought prompting to solve logic problems. You will also treat Code Llama as a pair programming partner to both learn to write and improve code. Additionally, you will promote safe and responsible use of LLMs by having Llama Guard check user prompts and model responses for harmful content.
Amir FeizpourMaven
This course will teach you the core principles of multi-agent LLM systems, how to design and build them, and how to integrate them into existing products. You will learn about optimizing teamwork, managing complex information flow, and ensuring security. By the end of the course, you will be able to design and build robust multi-agent LLM systems that enhance user experience, productivity, and business metrics.
