According to a Forrester Wave Report of September 2018, IBM is the second-largest Predictive Analysis and Machine Learning solutions contributor in the services industry. An academic collaboration of Simplilearn and IBM like this program, brings you one of the most comprehensive Artificial Intelligence courses throughout the country. Our Artificial Intelligence Course in Richmond allows you to benefit from a unique IBM association to helps today's students and professionals industry-ready and also be abreast with the latest and the most promising advancements in AI and related fields. With the help of this Artificial Intelligence Course in Richmond you can secure job profiles in the domains of Artificial Intelligence, Machine Learning, and Data Science, three of the fastest growing professional fields globally.
IBM is one of the leading companies offering cognitive and cloud platform services with a niche focus on technology and consultation. IBM is headquartered in Armonk New York, and is known for its focused multi-billion dollar investments in field of technology development and related research that has yielded many revolutionary discoveries and innovations for which the company has received multiple global accolades including, but not restricted to multiple Nobel, prizes, US National Medals and Alan Turing awards for path-breaking developments in technology. IBM has spearheaded several domains in technology and with Simplilearn, we bring you an Artificial Intelligence course that can help you attain the extraordinary and give your resume the necessary boost it requires.
What can I expect from this Simplilearn program developed in collaboration with IBM?
Once you have completed the Artificial Intelligence course in Richmond with Simplilearn, you will get a Master's certificate in Artificial Intelligence. The credentials are evidence of your expertise as an artificial intelligence expert. After you have completed the Artificial Intelligence course in Richmond, you will also receive the following benefits:
The Simplilearn-IBM co-developed Artificial Intelligence course combines AI, data science, ML, and deep learning to deploy state-of-the-art instruments and models in the real world. By taking this Artificial Intelligence Course in Richmond, you will have the opportunity to master an in-depth understanding of the fundamental artificial intelligence principles, which cover python programming and data science fundamentals, and a practical understanding of machine learning statistics.
In this Artificial Intelligence Course in Richmond, you will learn how to use Python libraries such as NumPy, SciPy, Scikit-learning, and essential machine learning principles including artificial neural networks, data abstraction layers, and TensorFlow.
Artificial Intelligence and Machine Learning will be applied in various mainstream industries by the end of 2025. From healthcare, insurance, transport, to improving customer services, fintech startups and logistics, Artificial Intelligence will become ubiquitous, shaping the years 2025-2030 and beyond.
Therefore, securing a job profile in this domain can benefit you immensely. However, an artificial intelligence course in Richmond can help you advance your abilities while keeping you updated with any new developments in the field.
At the end of the Artificial Intelligence Course In Richmond, you will be proficient in the following:
So doing this AI Course In Richmond can be very beneficial.
Including over 15 real-life brand initiatives in various fields, this Artificial Intelligence course in Richmond is co-developed by IBM. The projects entailed in the course are intended to master critical topics such as supervised and unsupervised learning, reinforcement learning, vector support, deep learning and tensor flux, neural networks, convolution neural networks, and recurrent neural networks.
This AI course in Richmond includes a project Capstone that allows you to revisit the topics learned during the entire duration of the course. You will take special mentoring workshops to build a high-quality industrial project and solve problems in the real world. The Capstone Project covers crucial areas, from analyzing exploratory data through design and fit to evaluating stock trends for various leading companies.
For you to execute this Capstone project satisfactorily, it will be critical to use some of the most current supervised and unmonitored algorithms applied in artificial intelligence like Regression, Multinomial Naïve Bayes, NLP, SVM and many others. Not only will you be issued the capstone credential after successfully submitting the project, but you will also have a project that may be presented as a testimonial to your learning to prospective employers.
Project 1: Uber Fare Provision | Domain: Delivery (Commerce)
Uber, one of the biggest taxi operators in the United States, wants to make the fare forecast for each journey more accurate. Be a helping hand in designing the proper model.
Project 2: Mercedes-Benz Test Bench Time Reduction | Domain: Cars
Mercedes-Benz, a multinational automotive manufacturer, based in Germany, seeks to minimize its test time for any car. More rapid testing will shorten market hitting time. Build and optimize the algorithm via reducing dimensionality and several approaches, including XGBoost.
Project 3: Amazon product rating | Domain: e-commerce
A global behemoth in the e-commerce space, based out of the US, Amazon gives behavior and use-based suggestions to customers that match their search requirement matched with their business type and popular reviews offered for the same category of products. Amazon wants to improve the recommendation engine by anticipating ratings for unreviewed products and adding them to suggestions.
Project 4: Walmart demand prediction | Domain: sales
Forecast exact sales for 45 Walmart shops, one of the major retail stores in the United States, considering the influence of promotional events. Check for impact on sales on macroeconomic parameters such as CPI, unemployment rate, etc.
Project 5: Customer experience improvement for Comcast | Domain: Telecommunications
A global name in the telecommunications industry and one of the biggest firms in the US, Comcast looking to improve the experience it offers to customers by locating and putting in place solutions which will eliminate problem areas affecting customer satisfaction. The organization is also searching for essential recommendations to provide the most satisfactory experience for its customers.
Project 6: Analysis of attrition for IBM | Domain: Workforce Analytics
You will be required to uncover characteristics that affect employee attrition for IBM, one of the largest US-based IT businesses. The organization would like to develop a logistic regression model based on identified parameters to forecast whether an employee churns or not.
Project 7: Richmond 311 Service Request Analysis | Domain: Telecommunication Service Request Analysis
Conduct call analysis for Richmond City's 311 service request line. You will focus on the techniques of data dispute to analyze data patterns and view the primary forms of complaints.
Project 8: MobieLens Analysis data set | Domain: engineering
The Research Project GroupLens is a research group of the University of Minnesota, Department of Computer Science and Engineering. The group's researchers take part in various research projects in the fields of information filtering, collaborative filtering, and system recommendation. We ask you to analyze user datasets by deploying Exploratory Data Analysis techniques and related strategies.
Project 9: Analysis of stock data | Domain: stock market
In this project, you can import data from Yahoo, Apple, Amazon, Microsoft, Google, and other leading companies utilizing the Yahoo data reader. You will be required to conduct basic analytics, including charting, closing prices, volume trading, completing daily return analyses, and using pair tracks to indicate the correlation between stocks.
Simplilearn’s Artificial Intelligence Course in Richmond is a great opportunity for learners to gain success in many careers and job disciplines, especially because of the rising demand and application of artificial intelligence across industries like:
This Artificial Intelligence Course In Richmond should be attended by participants with:
This Introduction to Artificial Intelligence (AI) is designed to help learners decode the mystery of artificial intelligence and its business applications. This AI for beginners course provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics.
This Data Science with Python course gives you a complete overview of Python’s data analytics tools and techniques. Learning python is a crucial skill for many data science roles, and you can develop it with this Python data science course. With a blended learning approach, you can learn Python for data science along with concepts like data wrangling, mathematical computing, and more. Unlock your career as a data scientist with Simplilearn’s Data Science with Python training.
Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning training, master Machine Learning concepts are required for a Machine learning certification. This Machine Learning online course will provide you with the skills needed to become a successful Machine Learning Engineer today.
This Deep Learning course with TensorFlow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks through this TensorFlow course. Learn to implement deep learning algorithms with our TensorFlow training and prepare for a career as a Deep Learning Engineer. Achieve our deep learning certification and gain a competitive edge over your peers in your next interview.
Simplilearn’s AI Capstone Project will give you an opportunity to implement the skills you learned in the Artificial Intelligence course. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.
Our Masters in Artificial Intelligence is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and AI skills you've gained working on projects, simulations, and case studies will set you ahead of the competition.
Talk about your AI masters certificate on LinkedIn, Twitter, and Facebook, boost your resume, or frame it - tell your friends and colleagues about it.
The Artificial Intelligence course in Richmond will give you an insight into AI tools and methodologies to prepare you for success in your role as an Artificial Intelligence Engineer. The industry-recognized certification from IBM and Simplilearn will attest to your new skills and on-the-job expertise. The AI certification program will train you on Python, Machine Learning techniques, including data reprocessing, regression, clustering, and Deep Learning methodologies and their applications using TensorFlow.
As a part of this AI certification training in Richmond in collaboration with IBM, you will receive the following:
You can enroll for this AI certification training in Richmond on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
Math principles such as statistics, probability, linear algebra, calculus, and Bayesian algorithms should be understood by professionals who want to start AI careers. Statistics, learning theory, problem-solving, classical mechanics, and language processing are all skills they'll need. It is also suggested that you know at least one programming language, data structure, and logic.
Professionals with a thorough knowledge of AI ideas have many opportunities. They can apply for AI Specialist, Machine Learning Engineer, NLP Scientist, AI Research Analyst, and Data Scientist.
The following are the top ten industries that are heavily utilizing AI applications: