In accordance with the 2018 Forrester report, IBM rightly finds a place as the second-largest Analysis company providing (predictive) and Machine Learning solutions internationally. As a result, this collaborative course prompts students to get access to integrated blended learning while making them experts in Artificial Intelligence and Data Science. The Artificial Intelligence course in Washington has been crafted in association with the industry's leading expert, IBM, to foster a program that will help students and job seekers gain a competitive edge in this cut-throat field. Helmed at Armonk, in the city of New York, the organization offers top class cognitive solutions and cloud platform services plus its mega verticals in the area of technology consulting.
Every year, IBM allocates $6 billion for research and development. This has yielded them quite a few accolades over the years including Nobel prizes (5), Turing Awards (6) five US National Medals of Science, 10 US Inventors Hall of Fame awards, and 9 US National Medals of Technology. Therefore, by enrolling in the AI Course in Washington, you can benefit from IBM’s leading-edge technology and Simplilearn’s academic prowess to grow in the Artificial Intelligence domain exponentially.
What can I expect from this Simplilearn program developed in collaboration with IBM?
Once you are through with the Artificial Intelligence course in Washington, you will be granted a certificate of excellence from IBM and Simplilearn. The AI Course certificate will act as a veil of legitimacy and verify your skills as an Artificial Intelligence expert. Additionally, you will receive the following benefits too:
The Artificial Intelligence course in Washington can help you gain a competitive edge so that you can excel in the industry and apply your skills as an AI engineer.
The Artificial Intelligence course in Washington will allow you to model AI algorithms alongside Data Science, Machine Learning, Deep Learning, and Statistics to develop programs suitable to solve real-life corporate problems and issues. The AI course in Washington is co-developed by Simplilearn and IBM to offer students an in-depth knowledge and practical experience of Statistics, Data Science, Machine Learning, and Python Programming. On your learning journey with this Artificial Intelligence course in Washington, you master key Python libraries like Scikit, SciPy, and NumPy plus Machine Learning techniques (cognitive), comprising supervised and unsupervised learning, advanced topics outlining artificial neural networks and layers of data abstraction and TensorFlow.
Once you are through with the Artificial Intelligence course in Washington, you will be technically fluent in the following domains:
AI course in Washington, is the best training for improving your skills.
With the Artificial Intelligence course in Washington, you will get access to fifteen real-life branded projects across various company verticals. You will apply your skills and theoretical knowledge to gauge what you have gathered from the Master's certification. The projects will help you bolster crucial AI concepts, including supervised and unsupervised learning, reinforcement learning, deep learning, and brush up on your neural, convolutional, and recurrent neural networks basics.
The AI course in Washington includes a capstone project that allows you to go back and forth to revise the various concepts taught throughout the duration of the course. From going through dedicated-mentored classes to doing an industry project on your own to put your skills and knowledge to the test, there are so many things you will pick along the way. Once you have completed the project and submitted it successfully, you will then acquire certificate proving that you have learned and applied the skills taught in this challenging program and succeeded.
Project 1: Uber Fare Prediction | Domain: Delivery (Commerce)
Uber is one of the most extensive taxi-hailing services operating in the United States. The company wants to improve the accuracy of its fare prediction AI model. Help Uber get their hands on the most riveting AI model by crafting one for them.
Project 2: Reduction of Test bench time for Mercedes-Benz company | Domain: Automobile
Mercedes-Benz is a German-based company that manufactures high-end luxury car models. The company wants to cut back on the time they spend on the test bench for their cars. Faster testing implies that the automobiles will hit the market quicker, thus opening a steady revenue stream. Help Mercedes-Benz forge a model that performs dimensionality reductions to achieve the objective.
Project 3: Amazon Product Rating Prediction Model | Domain: E-commerce
Jeff Bezos went to the moon with whatever he earned with Amazon. But, now the company is seeking to create and deploy a predictive algorithm offering ratings (accurate) for non-rated products, and subsequently add those ratings to the recommendations list of the customer.
Project 4: Walmart Demand Forecasting | Domain: Sales
In this project, you will need to predict accurate sales for Walmart's 45 stores spread across the US. This retail giant wants to act on macroeconomic factors such as CPI, unemployment rates, and other factors that can impact sales and promotional markdown events.
Project 5: Comcast Customer Experience Improvement Model | Domain: Telecom
Help Comcast improve their customer experience by identifying problems that can lead to increased consumer dissatisfaction. Candidates are required to assist the company in locating their weaknesses and building an algorithm to improve their end services.
Project 6: IBM Attrition Analysis | Domain: Workforce Analytics
Develop an algorithm that identifies whether an employee will churn for IBM, one of the largest US-based cloud platforms and IT companies. The top management at IBM also wants you to formulate a logistics regression that can help predict the churning probability of an employee.
Project 7: Service Request Analysis For Washington 311 | Domain: Telecommunication
Here, you need to perform a service request data analysis of Washington City 311 calls. You are expected to focus on concepts such as data wrangling to understand patterns in the information and visualize complaint types.
Project 8: Dataset Analysis | Domain: Engineering
The Department of Computer Science and Engineering of the University of Minnesota runs a research group called the GroupLens Research Project. The group members have their names of various research projects on different industries including information and collaborative filtering, and recommender systems. You must perform an analysis using the Exploratory Data Analysis technique for different user datasets.
Project 9: Stock Market Trends Data Analysis | Domain: Stock Market
In this project, students will import data using Yahoo data reader for several leading companies, including Google, Yahoo, Apple, Amazon, and Microsoft. You are further needed to use analytics fundamentals to create stock price and stock trade volume plots, return analysis (daily), and assess the correlation level among the various stocks.
The demand for AI is expanding, and so is the requirement for individuals who are well-versed in this field. As a result, Simplilearn's Artificial Intelligence Course In Washington is suitable professionals working across verticals and disciplines, including:
Most AI courses in Washington require individuals to be well-versed in the subject before applying for a certificate program in it. However, at Simplilearn, all we require is your unwavering interest. We will break it down for you in the simplest terms, and all you need is an aptitude for understanding statistics. However, individuals with prior knowledge of Python can grasp the concepts more quickly.
Once you have completed the Artificial Intelligence course in Washington, several job prospects will open up for you. This course is very thorough and cutting-edge, giving you the well-rounded training to apply your skills in AI and analytics-related areas, automatically pushing you ahead of the competition for the best job in these domains out there.
Run your eyes around your house and try to imagine the future. What do you see? Can you see machines implementing commands independently? Or, do you see a world where things are back to being operated manually? Well, we definitely cannot de-progress once we have had the taste of the elixir. Therefore, an Artificial Intelligence Course in Washington can benefit you immensely since AI is one field that will only see a positive trend in terms of progress. Apart from this, The New York Times has been reporting a shortage of certified AI engineers. According to Paysa, AI engineers earn an average salary of $172,000 annually in the US, making the domain one of the highest paying sectors globally. As a result, with an AI course in Washington you can make a fortune in this field while expanding your knowledge.
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.
I joined Simplilearn with great expectations, as it was recommended to me by a colleague. However, after putting in many hours in the live training, projects, quizzes, and reading materials, now I am feeling much more confident in my work environment. I am very pleased with the course and hope it will help me in my future career growth.
My learning experience was outstanding. The instructors were industry experts. My favorite feature about the course is the blended learning approach, where one can engage in live classes with the convenience of learning at his own pace. The course curriculum is very well designed and delivered.
I took this program, which consisted of multiple classes. Overall the teachers knew the subject and covered what was promised. The industry-related projects were excellent, and it helped put into practice what we learned in the class. I would recommend these classes to anyone planning to enter the Data Analytics field.
The awesome learning experience with Simplilearn. So far, I have completed up to the Data Science with Python. All the courses are well structured with self-learning, live classes, and assessment. The trainers are good, connect to students, and answer questions. Happy learning.
The course curriculum was beneficial in real-world scenarios and was up-to-date. The faculties are skillful and well experienced. The class sessions are very interactive, and the faculties are always ready to clear our doubts to their best. Also, the flexible class helps us to learn the same course with other faculty and gain more knowledge.
The Deep Learning with Tensorflow was handled very well by the Simplilearn instructor – Mr. Shivendra Kumar. He took many pains to advance this highly technical course and answered all students’ questions (even multiple times) clearly without compromising the quality of the training. I recommend this course and the faculty.
The Artificial Intelligence course in Washington, D.C. 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 Washington, D.C. in collaboration with IBM, you will receive the following:
You can enroll for this AI certification training in Washington, D.C. 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.
The average salary for a software engineer in Washington, D.C. is $89,940 annually. If you do an artificial intelligence course in Washington, D.C., you’ll have the opportunity to negotiate for a better salary as it’s an in-demand profession.
If you’ve done an Artificial Intelligence course in Washington, D.C., then there is a wide range of opportunities available for you. Some of the big companies are almost always in the market for an AI Engineer. Some of these companies that are hiring include Facebook, the FAA, Harnham, and Arrow Electronics.
Washington, D.C. is home to some of the biggest industries, including media, hospitality and tourism, health care, and retail, among others. A lot of these companies require candidates that have completed an artificial intelligence course in Washington, D.C.
The average salary for a software engineer in Washington is $89,940 annually. If you do an Artificial Intelligence course in Washington, you’ll have the opportunity to negotiate for a better salary as it’s an in-demand profession.
If you’ve done an Artificial Intelligence course in Washington, then there are a wide range of opportunities available for you. Some of the big companies are almost always in the market for an AI engineer. Some of these companies that are hiring include Facebook, the FAA, Harnham and Arrow Electronics.
Washington is home to some of the biggest industries, including media, hospitality and tourism, health care and retail, among others. A lot of these companies require candidates that have completed an Artificial Intelligence course in Washington.
For candidates well-versed and skilled in machine learning and AI, receive a package of $135,000 annually. With additional experience, higher job roles, and skills, the salary hikes. For getting an attractive pay scale in top companies, opting for certification courses like artificial intelligence training washington proves beneficial.
The major companies that grab AI and machine learning experts in Washington are FormLogic, Pinterest, Amazon, STPL Inc, Microsoft, Expedia, Facebook, TikTok, Apple, Salesforce, and more. Such top MNCs are looking for skilled AI and machine learning experts, and such skill update is possible by opting for artificial intelligence training washington.
The major industries in Washington are Aerospace, agriculture, information technology, health sciences, life sciences, agribusiness, clean and environmental technology. Computer software development is a big industry in Washington that adds to the economy. Hence, artificial intelligence training washington helps to get into software companies.
Developing the latest industry skills is an intelligent way to become an AI and machine learning expert in Washington. Updating such latest skills, such as programming languages, services, models, security, deployment, etc., is possible with artificial intelligence training washington paving the way for a successful AI and machine learning expert.
By browsing online with Google and searching for artificial intelligence training washington, the candidate retrieves all mandatory details in a single click. The course syllabus, fee, duration, timing, center address is obtained instantly. The candidate's only chore is joining the course.
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:
You will be entitled to acquire the Artificial Intelligence masters program certificate, which will attest to your AI engineer abilities, provided you meet the following minimum requirements.
|Course||Course completion certificate||Criteria|
Introduction to Artificial Intelligence Course
|Required||85% of Online Self-paced completion and Pass Assessment test at 80%|
|Data Science with Python||Required||85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, a score above 75% in course-end assessment, and successful evaluation in at least 1 project|
|Machine Learning||Required||85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom and successful evaluation in at least 1 project|
Deep Learning with Keras and TensorFlow
|Required||Attend 1 Live Virtual Classroom and successful evaluation in at least 1 project and score 70% for course-end assessment.|
|Advanced Deep Learning and Computer Vision||Required||Attend 1 LVC batch, Pass a Project, Pass an Assessment test 70%|
|AI Capstone Project||Required||Attendance of 1 Live Virtual Classroom and successful completion of the capstone project|
The courses for which you will receive IBM credentials are as follows:
Use the form on the right of any page on the Simplilearn website to contact us, or use the Live Chat link or Request a callback.
While not mandatory, NLP courses can greatly benefit individuals pursuing a career as an Artificial Intelligence Engineer. Natural Language Processing (NLP) is a key subfield of AI that deals with understanding and processing human language. Taking NLP courses can provide you with specialized knowledge and techniques required to develop advanced AI models that can comprehend and generate human language.
Washington, D.C. is the capital city of the United States, is a district and not part of any state. There are about 6.3 million residents in the Washington, D.C. metropolitan area, according to an estimate in 2019. The Washington, D.C. metropolitan area includes Arlington and Alexandria and has a gross product of around $500 billion.
Washington, D.C. is a planned city and has about 1,500 miles of streets, parks, and avenues. The architecture in the city varies deeply but houses six of the top ten buildings in the country, including the White House, the U.S Capitol, and the Jefferson Memorial. The climate in Washington, D.C. is mostly humid, although it gets milder in the spring and fall.
The city is marked with a number of landmarks. It’s no wonder Washington, D.C. has tourism as its second-largest industry. There are nearly 20 million visitors to Washington every year, to see some famous landmarks and monuments, apart from the White House and the U.S. Capitol. Some of the destinations to visit while in Washington, D.C. are:
1300 I Street NW, Suite 400E Washington, DC 20005 United States