Generative AI Engineering

Resumen

The generative AI market is on a significant growth trajectory, with an impressive 46% CAGR projected through 2030 (Statista). As a result, the demand for professionals skilled in generative AI engineering is skyrocketing.

Our Generative AI Engineering Professional Certificate is designed to equip aspiring generative AI engineers, AI developers, data scientists, machine learning engineers, and AI researchers with the critical skills needed in generative AI, large language models (LLMs), and natural language processing (NLP) that are highly sought after by employers.

Generative AI engineers utilize transformers and LLMs to create AI systems, applications, and agents that can generate and process new forms of data—including images, text, audio, and video.

Throughout this comprehensive program, participants will delve into AI, generative AI, and prompt engineering, along with data analysis, machine learning, and deep learning using Python. Gain hands-on experience with essential libraries like SciPy and scikit-learn and craft applications using leading frameworks and models like BERT, GPT, and LLaMA.

The program also covers building LLM-based NLP applications with tools such as Hugging Face Transformers, PyTorch, RAG, and LangChain, exploring in-depth tokenization, language models, and transformer methods.

The program emphasizes practical experience through a range of hands-on labs and projects that can be showcased in interviews. Participants will also undertake a major guided project, building a real-world generative AI application.

If you're eager to distinguish yourself with in-demand generative AI skills, ENROLL TODAY and advance your career in under 6 months!

Prerequisites include only basic computer literacy, making this program accessible to all enthusiastic learners.

Materias