Monthly Subscription Starting at AED 99 + VAT

Level Professional
المدة
الطبع بواسطة IBM
Offered by

عن

Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer. You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers. Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders. In addition to earning a Professional Certificate from Coursera, you will also receive a digital badge from IBM recognizing your proficiency in AI engineering.

Auto Summary

Unlock the future of AI with the IBM AI Engineering Professional Certificate, designed for aspiring and current data scientists, machine learning engineers, software engineers, and other technical professionals who aim to excel in the rapidly expanding field of AI. This comprehensive program, offered by Coursera, equips you with the skills to build, train, and deploy various deep learning architectures, including convolutional neural networks, recurrent networks, autoencoders, and cutting-edge generative AI models such as large language models (LLMs). Dive into the core concepts of machine learning and deep learning, mastering both supervised and unsupervised learning techniques through hands-on experience with Python and popular libraries like SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow. Apply these tools to real-world challenges in object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), and recommender systems. Additionally, learn to create Generative AI applications using LLMs and RAG with innovative frameworks like Hugging Face and LangChain. Throughout the course, you will engage in practical labs and projects, gaining valuable hands-on experience that will enhance your resume and portfolio, making you a standout candidate in the job market. With flexible subscription options including Starter and Professional levels, this program is tailored to fit your needs and schedule. Join today to become job-ready and master the AI engineering skills that employers are seeking!