TensorFlow 2 for Deep Learning Specialization

DL Colleagues, the TensorFlow 2 for Deep Learning Specialization is intended for machine learning researchers and practitioners who need practical skills in the popular deep learning framework TensorFlow. Gain hands-on skills in Tensorflow, TensorFlow Probability, Probabilistic Neural Networks, Keras, Deep Learning Probabilistic Neural Network, Generative Models and Probabilistic Programming Language (PRPL). Three core training modules will equip you in: 1 - Getting started with TensorFlow 2 you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, and implementing callbacks, 2 - Customising your models with TensorFlow 2 you will deepen your knowledge and skills with TensorFlow - develop fully customised deep learning models and workflows for any application using lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow, and 3 - Probabilistic Deep Learning with TensorFlow 2  focuses on the probabilistic approach to deep learning. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real world datasets. 

Register today at: https://tinyurl.com/y3zy56j4  

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (AIA)

Advanced Machine Learning Specialization

ML colleagues, this Advanced Machine Learning Specialization provides an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems. Gain high-demand skills in Recurrent Neural Network, Tensorflow, Convolutional Neural Network, Deep Learning, Data Analysis, Feature Extraction, Feature Engineering, Xgboost, Bayesian Optimization, Gaussian Process, Markov Chain Monte Carlo (MCMC) and Variational Bayesian Methods. Skill-based training modules address: 1) Introduction to Deep Learning, 2) How to Win a Data Science Competition: Learn from Top Kagglers, 3) Bayesian Methods for Machine Learning, 4) Practical Reinforcement Learning, 5) Deep Learning in Computer Vision, 6) Natural Language Processing, and 7) Addressing Large Hadron Collider Challenges by Machine Learning.

Enroll today at: https://tinyurl.com/yy7bbh9w 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (AIA)

IBM Applied AI Professional Certificate

AI colleagues, the IBM Applied AI Professional Certificate program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Learn to use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate. The six skill-based training modules address: 1 - Introduction to Artificial Intelligence (AI), 2 - Getting Started with AI using IBM Watson, 3 - Building AI Powered Chatbots Without Programming, 4 - Python for Data Science and AI, 5 - Building AI Applications with Watson APIs, and 6 - Introduction to Computer Vision with Watson and OpenCV.

Enroll today at: https://tinyurl.com/y6qjakgn 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (AIA)

Python Data Analysis with NumPy and Pandas (Training)

Dev colleagues, this advanced programming course will teach you how to analyze Python data with NumPy and pandas. As machine learning becomes more prevalent, Python has emerged as a scientific language. Within Python, NumPy and pandas are essential for any scientific computation. Understanding how these elements work together is critical for the aspiring data scientist - work with Jupyter Notebook, use NumPy to work with arrays and matrices of numbers, work with Pandas to analyze data and with Matplotlib from within Pandas. Three core training modules include: 1) Jupyter Notebooks, 2) NumPy, and 3) Pandas. The program consists of 28 individual courses that can be taken over a 3 month period - open enrollment.

Register today at: https://tinyurl.com/yymfr7rl 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (AIA)

Advanced Artificial Intelligence on Microsoft Azure: Deep Learning, Reinforcement Learning and Applied AI

AI & ML colleagues, build advanced AI programming skills using Microsoft Azure and upskill for roles in AI, analytics, data science, and deep learning. Six skill-based training modules comprise this program, including: 1) Microsoft Future Ready: Designing and Implementing an Azure AI Solution (AI Engineer Associate), 2)  Microsoft Future Ready: Reinforcement Learning Fundamentals, 3) Applied Artificial Intelligence: Speech Recognition Systems, 4) Applied Artificial Intelligence: Natural Language Processing (NLP), 5) Microsoft Future Ready: Deep Learning Fundamentals, and 6) Applied Artificial Intelligence: Computer Vision and Image Analysis. Upon successful completion of this Professional Certificate, you receive a voucher to sit the Azure AI Engineer Associate (AI-100) certification exam. Voucher. You also receive Digital Completion Certificates and hands-on lab accomplished digital badges.

Enroll today at: https://fxo.co/AA6a 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (AIA)

Deep Learning with TensorFlow 2.0 Certification Training

Machine Learning colleagues, become certified as a Deep Learning Engineer. This Deep Learning with TensorFlow 2.0 Certification Training is curated with the help of experienced industry professionals per the latest requirements & demands. You will master popular algorithms like CNN, RCNN, RNN, LSTM, RBM using TensorFlow 2.0 in Python. Work on real-time projects like Emotion and Gender Detection, Auto Image Captioning using CNN, LSTM, and many more. Skill-based training modules address: 1) Introduction to Deep Learning, 2) Getting Started with TensorFlow 2, 3) Convolutional Neural Network, 4) Regional CNN, 5) Boltzmann Machine & Autoencoder, 6) Generative Adversarial Network(GAN), 7) Emotion and Gender Detection, 8) Introduction RNN and GRU, 9 ) LSTM,  and 10) Auto Image Captioning Using CNN LSTM.

Register today. Visit: https://fxo.co/9PYj 

Much career success, Lawrence E. Wilson -  Artificial Intelligence Academy (AIA) 

Data Scientist with Python (Nanodegree Program)

Software & Analytics colleagues, master the skills necessary to become a successful Data Scientist. You will work on projects designed by industry experts, run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud. Skill-based training modules and hands-one projects include: 1) Solving Data Science Problems (Project: Write a Data Science blog post), 2) Software Engineering for Data Scientists, 3) Data Engineering for Data Scientists (Project: Build a data science pipelines with Figure Eight), 4) Experiment Design and Recommendations (Project: Design a recommendation engine with IBM), and 5) Data Science Projects (Project: Data science capstone project). Recommended prerequisites: familiarity with machine learning concepts, Python programming, probability, and statistics. 

Register today: https://fxo.co/9nmz  

Much career success, Lawrence E. Wilson -  Artificial Intelligence Academy (AIA) 

Artificial Intelligence on Microsoft Azure: Machine Learning and Python Basics (AZ-900 & AI-100 Certification Exam Prep)

AI and Cloud  colleagues, this comprehensive program will equip you to pass the  voucher to sit the Microsoft Azure Fundamentals (AZ-900) and Microsoft Azure AI Engineer Associate (AI-100) certification exams (receive exam vouchers upon completion of this program). Develop AI and machine learning skills using Python and Microsoft Azure, on the path to role-based certifications. Skill-based training modules - mapped to the cert exams, include: 1) Microsoft Future Ready: Azure Cloud Fundamentals, 2) Microsoft Future Ready: Introduction to Artificial Intelligence, 3) Microsoft Future Ready: Introduction to Python Programming, 4) Microsoft Future Ready: Essential Mathematics for Machine Learning and AI, and 5) Microsoft Future Ready: Designing and Implementing an Azure AI Solution (AI Engineer Associate). 

Enroll today at: https://fxo.co/9mGh 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (AIA) 

Intel® Edge AI for IoT Developers (Nanodegree Program)

Dev colleagues, this nanodegree program leverages the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications, and run pre-trained deep learning models for computer vision on-premise. You will identify key hardware specifications of CPU, VPU, FPGA, and Integrated GPU hardware types and utilize the Intel® DevCloud for the Edge to test model performance on the various hardware types. Use software tools to optimize deep learning models to improve performance of Edge AI systems. The three skill-based training modules(each with a hands-on project) include: 1) Edge AI Fundamentals with OpenVINO™ (Project: Deploy a People Counter at the Edge), 2) Hardware for Computer Vision & Deep Learning Application Deployment .(Project: Design a Smart Queuing System)., and 3) Optimization Techniques and Tools for Computer Vision & Deep Learning Applications (Project:Build a Computer Pointer Controller).  This program requires intermediate knowledge of Python, and experience with Deep Learning, Command Line, and OpenCV.

Enroll today at: https://fxo.co/9kvZ 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (AIA) 

Natural Language Processing Engineer with Python Certification

Software colleagues, this Natural Language Processing Engineer with Python program will take you through the essentials of text processing all the way up to classifying texts using Machine Learning algorithms. You will learn various concepts such as Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing and so on using Python’s most famous NLTK package. Once you delve into NLP, you will learn to build your own text classifier using the Naïve Bayes algorithm. This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language.  You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience. You will gain high demand, marketable skills in: 1) Introduction to Text Mining and NLP, 2) Extracting, Cleaning and Pre-processing and Machine Learning, 3) Analyzing Sentence Structure, 3) Text Classification – I & II, and 4) In Class Project on Sentiment Classification.

Register today at: https://fxo.co/8m2j 

Career success awaits you, Lawrence Wilson – Artificial Intelligence Academy (AIA)