IBM is currently identified as a leader in the 2021 Gartner Magic Quadrant for Cloud AI Developer Services Reports. Learners get to experience an integrated blended learning journey through our Artificial Intelligence course in Amsterdam, developed as an IBM partnership, packed with the all right skills needed to become Artificial Intelligence and Data Science experts today. Program learners are assured to be ready for professional responsibilities in AI and Data Science after completing this cutting-edge Artificial Intelligence course in Amsterdam, offered as an IBM-partnered program. IBM, located in Armonk, New York, is a major cognitive solutions and cloud platform firm that provides a wide range of technology and consulting services. IBM has been involved in research since its inception. Each year, IBM invests several billion dollars in research and development.
What Can I Expect From This Simplilearn Program Developed In Collaboration With IBM?
You will obtain credentials from IBM and Simplilearn in the Artificial Intelligence course in Amsterdam on completing the Master's program. These certificates will attest to your abilities as an Artificial Intelligence expert. In addition, you will receive the following upon completion of this artificial intelligence course in Amsterdam.
Many other benefits you can get from artificial Intelligence Course In Amsterdam
This Artificial Intelligence Engineer Master's Program with IBM and Simplilearn offers job-ready learning in AI, Data Science, Machine Learning, and Deep Learning to get learners to grasp the application of advanced models or tools in the real-world. This Artificial Intelligence course in Amsterdam curriculum is designed to give a work-ready grasp of AI topics, which includes key statistical fundamentals used in Data Science, ML, and Python programming.
In this AI course in Amsterdam, you will learn:
You will be able to do the following by the end of the Artificial Intelligence Course In Amsterdam :
Over 15 real-life branded projects in various domains are included in this Artificial Intelligence course in Amsterdam. The projects in the program are designed to help you utilize your skills in supervised and unsupervised learning, convolutional neural networks, support vector machines, deep learning, TensorFlow, reinforcement learning, TensorFlow, neural, and recurrent neural networks, and many others.
This Artificial Intelligence Course In Amsterdam includes a capstone project that allows you to review the topics you learned throughout the program. You'll take dedicated, supervised classes to build a high-quality industry project that addresses a real-world problem. From exploratory data analysis to model design and fitting, the capstone project will cover all the bases.
To complete the capstone project, you will use cutting-edge Artificial Intelligence-based supervised and unsupervised algorithms in the domain of your choice. You will have to apply several models, including Regression, Multinomial Naive Bayes, SVM, Tree-based algorithms, and NLP. On completing this project, you will be the recipient of a capstone credential certificate, and also have the opportunity to showcase cutting-edge project work to employers to validate your expertise.
Project 1: Uber Fare Forecasting | Domain: Delivery (Commerce)
Uber, one of the major taxi companies in the United States, seeks to increase the accuracy of fare predictions for any trip. Assist Uber by creating and selecting the best model.
Project 2: Mercedes-Benz test bench time reduction | Domain: Automobile
Mercedes-Benz, a worldwide German automaker, aims to cut down on the amount of time it spends on the test bench for any given vehicle. Faster testing will shorten the time it takes to get a product to market. To achieve the stated goal, build and optimize the algorithm using dimensionality reduction and various techniques such as XGBoost.
Project 3: Predicting Amazon product ratings | Domain: E-commerce
One of the top US-based e-commerce companies, Amazon, recommends products within the same category to customers based on their activity and reviews on similar products. Amazon hopes to improve its recommendation engine by projecting non-rated product ratings and including them in suggestions based on those projections.
Project 4: Walmart Demand Forecasting | Domain: Sales
Predict correct sales for 45 Walmart shops, one of the largest US-based retailers, taking into account the influence of promotional markdown events. Examine whether macroeconomic factors such as the CPI, unemployment rate, and so on have an impact on sales.
Project 5: Improving Comcast's customer experience | Domain: Telecom
Comcast which is a global powerhouse in the telecom space, with primary presence in the US intends to identify and resolve issue areas and significantly improve its customer happiness numbers. The organization is also searching for critical tips that may be put into action to provide the best possible customer service.
Project 6: IBM Attrition Analysis | Domain: Workforce Analytics
IBM, one of the largest IT businesses in the United States, wants to know what variables impact employee churn. The company is also looking to develop a logistical regression-based analytical model that will be on the factors mentioned inorder to analytically determine if and when employee churn can occur.
Project 7: Analysis of Amsterdam 311 Service Requests |Domain: Telecommunications
Analyze the data from New York City 311 calls for service requests. You'll concentrate on data wrangling techniques to decipher data trends and show the most common complaint kinds.
Project 8: Analysis of MovieLens Datasets | Domain: Engineering
The GroupLens Research Project is a research group at the University of Minnesota's Computer Science and Engineering Department. This group's researchers are working on many initiatives in the areas of collaborative filtering, information filtering, and recommender systems. For user datasets, we ask you to do an analysis utilizing the Exploratory Data Analysis technique.
Project 9: Stock Market Data Analysis | Domain: Stock Market Data Analysis
You will import data from the companies Yahoo, Apple, Amazon, Microsoft, and Google as part of this project using the Yahoo data reader. You will use core analytical skills to plot stock trades (by volume), prices at the close of trade, do return analysis (daily), and find out correlation among the stocks by leveraging pair plots.
This Artificial Intelligence Course In Amsterdam is appropriate for a variety of positions and specialties, including:
The following are the requirements for enrolling in an Artificial Intelligence Course In Amsterdam:
You will have the abilities needed to help you obtain a dream career after completing the Artificial Intelligence Course In Amsterdam co-developed with IBM. The following are some of the jobs that are appropriate for AI trained professionals through the AI Course In Amsterdam:
The artificial intelligence industry is today rising at hyper speed. Since 2015, the number of job listings in the field of artificial intelligence and machine learning has increased. As of July 28, 2021, the average Principal AI Engineer salary ranges from $129,230 to $163,279 in top cities. (Source: salary.com). Completing an AI course in Amsterdam can help you get your dream job.
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 certification 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 58 hrs of 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 Artificial Intelligence course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and Artificial Intelligence skills you've gained working on projects, simulations, case studies will set you ahead of competition.
Talk about your AI certification on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.
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.
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.
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.
Artificial intelligence is a branch of computer engineering that involves the development of computer systems and digital scripts that mimic the human brain and do tasks that would typically need self-learning and automation. Using various AI approaches, computers may be trained to do jobs by analyzing massive amounts of data and identifying patterns in that data.
The 1950s witnessed the emergence of a generation of mathematicians, philosophers, and scientists who had culturally internalized the notion of AI. Alan Turing was a British polymath who conceived artificial intelligence as a mathematical possibility.
The following are some of the most popular AI courses:
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.
An AI Engineer employs ML Algorithms, artificial neural networks, and other approaches in various industries throughout the world. They are in charge of maintaining the AI solution infrastructure and developing, testing and implementing AI systems. This role may perform a range of duties in an organization, including:
The Artificial Intelligence course prepares you for successful performance as an AI specialist by providing you with an overview of AI technology and processes. Industry-recognized certification from IBM and Simplilearn may attest to your new talents and on-the-job expertise. Python, Machine Learning algorithms such as data preprocessing, regression model, clustering, and Deep Learning theory and applications are all covered in the AI certification course curriculum.
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.
Landing on an innovative training program might be difficult with many options accessible on the internet. The ideal AI course covers all major AI topics from essential to expert levels. The trainer should be well qualified and have extensive expertise in the sector. Through industrial projects, case studies, end-of-chapter exams, virtual labs, working on tools, and assignments, theoretical knowledge should be combined with practical abilities. All of your learning needs are met with our AI certification course.
The following are the top ten industries that are heavily utilizing AI applications:
As part of this IBM-sponsored AI certification program, you will earn the following:
Our AI certification course covers all of the fundamental neural networks you'll need to know while studying AI and deep learning.
You will be entitled to acquire the Artificial Intelligence course 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|
While this AI certification course is sufficient to achieve experience in the field, some people opt to supplement their knowledge with books. Here are some recommended reading materials:
The courses for which you will receive IBM credentials are as follows:
You may register for this AI certification program on our website and pay using one of the following methods:
You will automatically get a receipt of payment and access details through email after payment is received.
Use the form on the right of any page on the Simplilearn website to contact us, or use the Live Chat link or contact Help & Support.
Our Artificial Intelligence instructors are all industry specialists with years of relevant experience in the industry. Before they are qualified to train for us, they have undergone a thorough selection procedure that includes profile assessment, technical examination, and a training demo. We also ensure that only trainers with a good alumni rating stay on our faculty.
Our teaching assistants are a devoted group of subject matter experts who are here to help you pass the AI certification exam on your first try. From class onboarding through project mentorship and employment aid, they proactively engage students to guarantee that the course route is followed and help you expand your learning experience. During business hours, teaching assistance is accessible.
We provide email, chat, and phone help around the clock. Our community forum also has a specialized crew that provides on-demand support. Furthermore, even after you have completed your Artificial Intelligence course with us, you will have lifetime access to the community forum.
Yes, as part of the Artificial Intelligence course, we include a practice test to assist you in preparing for the certification exam. You may practice with these free Artificial Intelligence Exam Questions to get a sense of the kind of questions included in the course.
Yes, the Artificial Intelligence online course is appropriate for both novices and specialists. In collaboration with IIMJobs, Simplilearn provides the JobAssist program (only for India learners), where you may obtain career advice and apply for AI and ML employment.
You may access the self-paced study materials for future reference even after completing our Artificial Intelligence course.
Simplilearn provides integrated laboratories that you can access directly from your LMS for hands-on execution of industrial tasks. This AI course's LMS will include instructions for installing and deploying the tools.
This AI certification training capstone assignment will help you review the principles you've learned thus far. If you complete the capstone project, you will earn a credential, demonstrating your abilities to future employers.
The technology that is propelling the Fourth Industrial Revolution is artificial intelligence. It is infiltrating every business, and we only see the beginnings of its uses. AI developments will continue to amaze and revolutionize the way humans execute a range of activities in the future.
AI talents are in high demand, and specialists with them attract substantial incomes. AI Engineers in the United States make roughly $125,000 per year on average (source: Payscale).
AI and its subset technology stack are beneficial in industries, including retail, finance, aviation, manufacturing, and information technology. Self-driving cars, picture identification, speech recognition, fraud detection, spam filtering, and voice assistants are just a few examples of the technology's uses. AI may assist in reducing human mistakes, automating a variety of tedious jobs, accelerating innovation, and working around the clock.
When you enter the area of artificial intelligence, you'll come across various fascinating technology, such as:
AI may be divided into three categories:
These are the categories of AI according to another classification:
AI aspires to provide robots with human-like intelligence and the capacity to execute tasks typically exclusively performed by humans. AI-powered systems are anticipated to be able to understand their environment and solve the challenges for which they were created.
The most popular programming languages for Artificial Intelligence include Python, Prolog, Java, and C++.
Artificial Intelligence is required for jobs such as Data Scientists, AI Engineers, Machine Learning Engineers, NLP Scientists, AI Researchers, and Data Architects.
If you want to work in Artificial Intelligence, you'll need the perfect mix of technical talents. Our AI certification course can help you become job-ready if you have no prior experience. You may become a step closer to a career in AI by learning all of the AI principles accessible in our AI courses from industry professionals and boosting your practical knowledge through real-world projects.