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IBM

IBM AI Engineering

IBM via Coursera Professional Certificate

Overview

AI is expected to grow 37.3% by 2030 (Forbes). This IBM AI Engineering Professional Certificate is ideal for data scientists, machine learning engineers, software engineers, and other technical specialists looking to get job-ready as an AI engineer. During this program, you’ll learn to build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, autoencoders,and generative AI models including large language models (LLMs). You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using Python. You’ll apply popular libraries such as SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow to industry problems using object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), and recommender systems. Build Generative AI applications using LLMs and RAG with frameworks like Hugging Face and LangChain. You’ll work on labs and projects that will give you practical working knowledge of deep learning frameworks. If you’re looking to build job-ready skills and practical experience employers are looking for, ENROLL TODAY and build a resume and portfolio that stand out!

Syllabus

Course 1: Machine Learning with Python
- Offered by IBM. Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to ... Enroll for free.

Course 2: Introduction to Deep Learning & Neural Networks with Keras
- Offered by IBM. Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning ... Enroll for free.

Course 3: Building Deep Learning Models with TensorFlow
- Offered by IBM. Deep learning is revolutionizing many fields, including computer vision, natural language processing, and robotics. In ... Enroll for free.

Course 4: Introduction to Neural Networks and PyTorch
- Offered by IBM. PyTorch is one of the top 10 highest paid skills in tech (Indeed). As the use of PyTorch for neural networks rockets, ... Enroll for free.

Course 5: Deep Learning with PyTorch
- Offered by IBM. This course advances from fundamental machine learning concepts to more complex models and techniques in deep learning using ... Enroll for free.

Course 6: AI Capstone Project with Deep Learning
- Offered by IBM. In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use ... Enroll for free.

Course 7: Generative AI and LLMs: Architecture and Data Preparation
- Offered by IBM. This IBM short course, a part of Generative AI Engineering Essentials with LLMs Professional Certificate, will teach you the ... Enroll for free.

Course 8: Gen AI Foundational Models for NLP & Language Understanding
- Offered by IBM. This IBM course will teach you how to implement, train, and evaluate generative AI models for natural language processing ... Enroll for free.

Course 9: Generative AI Language Modeling with Transformers
- Offered by IBM. This course provides you with an overview of how to use transformer-based models for natural language processing (NLP). In ... Enroll for free.

Course 10: Generative AI Engineering and Fine-Tuning Transformers
- Offered by IBM. The demand for technical gen AI skills is exploding. Businesses are hunting hard for AI engineers who can work with large ... Enroll for free.

Course 11: Generative AI Advance Fine-Tuning for LLMs
- Offered by IBM. Fine-tuning a large language model (LLM) is crucial for aligning it with specific business needs, enhancing accuracy, and ... Enroll for free.

Course 12: Fundamentals of AI Agents Using RAG and LangChain
- Offered by IBM. Business demand for technical gen AI skills is exploding and AI engineers who can work with large language models (LLMs) are ... Enroll for free.

Course 13: Project: Generative AI Applications with RAG and LangChain
- Offered by IBM. Get ready to put all your gen AI engineering skills into practice! This guided project will test and apply the knowledge and ... Enroll for free.

Courses

Taught by

Alex Aklson, Ashutosh Sagar, Fateme Akbari, JEREMY NILMEIER, Joseph Santarcangelo, Kang Wang, Ricky Shi, Romeo Kienzler, Roodra Pratap Kanwar, SAEED AGHABOZORGI, Samaya Madhavan, Sina Nazeri and Wojciech 'Victor' Fulmyk

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