Coursera – IBM AI Engineering Professional Certificate 2024-11
Coursera – IBM AI Engineering Professional Certificate 2024-11 Downloadly IRSpace
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IBM AI Engineering Professional Certificate Course offered by IBM in the field engineering, artificial intelligence. The high speed of innovation in the field of artificial intelligence a lot of opportunities for the transformation of many industries, and our lives brought into being. After spending 6 Comprehensive Course in course IBM AI Engineering Professional Certificate understand the practical, in the field of machine learning and deep learning to hand to bring. Also, you on the basic concepts of machine learning and deep learning involves learning monitoring and supervision, not mastered, you’ll find and how to use the most popular library of machine learning and deep learning, such as SciPy, etc. ScikitLearn, etc. Keras, etc. PyTorch and Tensorflow that its application in the field of object detection and vision computer, etc., image processing and film, analysis of text, natural language processing, systems, and recommend the insurer,… is to learn.
Cases in which this course is given:
- New skills include regression, classify, etc. category up, learning, scikit, and Sai pie
- The construction projects include the detection of cancer, predicting the trends of economic, A forecast of the amount of attract the customer in. engines recommended trader and…
Profile of course
- Publisher: Coursera
- University: IBM
- Teachers: SAEED AGHABOZORGI, Joseph Santarcangelo, Romeo Kienzler, Alex Aklson
- Level: Intermediate
- Number of courses: 13 courses
- Language: English
- Duration: 3 months at 10 hours a week
The courses offered within the collection:
Images
Sample movie
Installation guide
After the Extract with the Player your custom view.
Subtitles: English and ….
Quality: 720p
The 2024/11 version has increased the number of 77 lessons and the duration of 8 hours compared to 2024/4.
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Course Project Files: Link 1، ink 2
Machine Learning with Python
Introduction to Deep Learning & Neural Networks with Keras
Deep Learning with Keras and Tensorflow
Introduction to Neural Networks and PyTorch
Deep Learning with PyTorch
AI Capstone Project with Deep Learning
Generative AI and LLMs Architecture and Data Preparation
Gen AI Foundational Models for NLP & Language Understanding
Generative AI Language Modeling with Transformers
Generative AI Engineering and Fine-Tuning Transformers
Generative AI Advance Fine-Tuning for LLMs
Fundamentals of AI Agents Using RAG and LangChain
Project Generative AI Applications with RAG and LangChain
File size
1.69 GB
