Andrew Ng’s DeepLearningAI recently introduced a new course, ‘Building AI Applications with Haystack’ built in partnership with Deepset, the creator of Haystack, the framework that simplifies the process of creating LLM based applications.
This new course will delve into the Haystack framework, a powerful tool for creating flexible, scalable, and maintainable AI solutions taught by Tuana Çelik, developer relations lead at Haystack. Participants will gain practical experience through hands-on projects, including building a RAG app, a news summarisation tool, a functional chat agent, and even a self-reflective agent with looping capabilities.
Check out the course here.
A Commitment to Innovation
The free courses offered by Andrew Ng, founder and CEO of DeepLearning.AI explore key areas such as LLMs in generative AI, medical applications of AI, and the TensorFlow framework. By equipping learners with the tools to build AI applications, the organisation is helping to shape the future of technology and empower the next generation of developers.
DeepLearning.AI is on a roll with a flurry of new course offerings.
This month alone, the company has unveiled a course on federated learning, allowing secure training on private data, alongside a partnership with Flower Labs.
Another collaboration also include Upstage, where it is helping students to efficiently pretrain large language models, including cost-saving techniques like depth up-scaling.
Rounding out the recent launches is a course on optimising retrieval augmented generation (RAG) in partnership with MongoDB. This course equips learners with the skills for building efficient and scalable RAG applications, covering techniques like vector search and prompt compression.
With this diverse range of offerings, DeepLearning.AI is providing a valuable resource for those seeking to advance their skills in the ever-evolving field of AI.
There is no stopping DeepLearning.AI. It also has expanded its generative AI course offerings to cater to learners at various skill levels. Courses range from foundational topics like LLMs and diffusion models to practical applications such as building chatbots and automating workflows with ChatGPT.
Also Read: 10 AI Courses from Andrew Ng You Must Take
