Coursera – IBM AI Engineering Professional Certificate 2025-7

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
• Teacher : Sina Nazeri
• Language: English
• Level : All Levels
• Lectures : 13
• Duration : 4 months, 10 hours a week

The courses offered within the collection:

Images

Sample movie

Installation guide

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Subtitles: English

Quality: 720p

The 2024/11 version has increased the number of 77 lessons and the duration of 8 hours compared to 2024/4.

The 2025/7 version has a 2-minute reduction in time compared to 2024/11.

Download link

Course Project Files: Link 1، ink 2

Course 1 – Machine Learning with Python

Download – 330 MB

Course 2 – Introduction to Deep Learning & Neural Networks with Keras

Download – 99 MB

Course 3 – Deep Learning with Keras and Tensorflow

Download – 109 MB

Course 4 – Introduction to Neural Networks and PyTorch

Download – 318 MB

Course 5 – Deep Learning with PyTorch

Download – 173 MB

Course 6 – AI Capstone Project with Deep Learning

Download – 17 MB

Course 7 – Generative AI and LLMs: Architecture and Data Preparation

Download – 60 MB

Course 8 – Gen AI Foundational Models for NLP & Language Understanding

Download – 162 MB

Course 9 – Generative AI Language Modeling with Transformers

Download – 213 MB

Course 10 – Generative AI Engineering and Fine-Tuning Transformers

Download – 139 MB

Course 11 – Generative AI Advance Fine-Tuning for LLMs

Download – 263 MB

Course 12 – Fundamentals of AI Agents Using RAG and LangChain

Download – 129 MB

Course 13 – Project: Generative AI Applications with RAG and LangChain

Download – 80 MB

File size

2.04 GB