As determined by the Forrester Wave 2018 Report, IBM is located aptly as the 2nd most biggest global Predictive Analytics and ML service provider. 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 Zurich 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. The Armonk-headquartered company is internationally known for its solutions in the cognitive space and cloud-driven services along with its widely used technology consulting services.
Every year, IBM allocates $6 billion for research and development. As a result, they've bagged many including, six Turing Awards, five Nobel Prizes 10 recognitions from the US Inventors Hall of Fame, 9 US National Medals of Technology, and 5 US National Medals of Science. Therefore, by enrolling in the AI Course in Zurich, 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 Zurich, you will be granted a certificate of excellence from IBM and Simplilearn. The 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 Zurich can help you gain a competitive edge so that you can excel in the industry and apply your skills as an AI engineer.
The course 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 Zurich 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. Leveraging Simplilearn's Artificial Intelligence course in Zurich, you learn vital Python libraries - NumPy, Scikit, and SciPy and also in-demand techniques in cognitive machine learning - unsupervised and supervised learning, and further in-depth and application-driven topics like TensorFlow, artificial neural networks and data abstraction layers.
Once you are through with the Artificial Intelligence course in Zurich, you will be technically fluent in the following domains:
AI course in Zurich, is the best training for improving your skills.
With the Artificial Intelligence course in Zurich, 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 Zurich 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. On successful submittal of the project, you will be the proud recipient of a a well-deserved certificate attesting to your skills and expertise in applying them.
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. However, you will now be required by the business to create an algorithm to help predict realistic ratings for the products not rated yet, and then customer recommendation section to be updated with the information.
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 Zurich 311 | Domain: Telecommunication
Here, you need to perform a service request data analysis of Zurich 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 members comprised in this group have various research projects across industries under their belt, - collaborative filtering, information 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. Post this, you will leverage fundamental analytics and for the company, develop stock trade and closing stock price plots, (daily) return analysis, and finally stock correlation determination.
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 Zurich is suitable professionals working across verticals and disciplines, including:
Most AI courses in Zurich 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.
Delve into AI basics and generative AI principles. Grasp the importance of explainable AI. Employ prompt engineering to enhance generative AI performance. Understand ChatGPT's mechanisms, features, and constraints. Explore varied ChatGPT applications. Gain foresight into generative AI's future and challenges.
Discover procedural and object-oriented programming. Uncover Python's benefits. Set up Python and its IDE. Master Jupyter Notebook. Apply Python basics like identifiers, indentation, and comments. Understand data types, operators, and string functions. Explore Python loops and variable scopes. Learn about OOP, its features, and elements like methods, attributes, and access modifiers.
Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.
* Gain a comprehensive overview of Python's tools and techniques for data analytics
* Experience vital skill development in Python for various data science roles
* Engage in a blended learning approach covering data wrangling, mathematical computing, and more
* Explore practical applications for a hands-on understanding
* Propel your data science career with Simplilearn's specialized training
* Gain career success with our comprehensive Machine Learning course
* Learn from 40+ hrs of Applied Learning and interactive labs
* Complete 4 hands-on projects to solidify your understanding
* Receive mentoring support throughout your learning journey
* Master essential machine learning concepts for certification
* Gain the skills needed to become a successful machine learning engineer
Differentiate deep learning from machine learning. Explore various neural network types. Excel at forward and backward propagation in deep neural networks. Introduce modeling and performance enhancement in deep learning. Understand hyperparameter tuning and model interpretability. Learn dropout and early stopping implementation. Master CNNs, object detection, and RNN fundamentals. Grasp PyTorch basics and neural network creation.
The capstone project allows you to implement the skills you learned throughout this bootcamp. You will solve industry-specific challenges by leveraging various AI and ML techniques. The capstone project will help you 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.
AI and Machine Learner engineer is a person who does research on AI systems by building designs along with algorithms that define machine learning. The salary of an AI and Machine learner with artificial intelligence training Zurich ranges between 50000 CHF to 140000 CHF per year depending on the experience and skills of the candidate.
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To become an AI and Machine Learning engineer in Zurich, the candidate must have a degree with certifications in AI and Machine Learning techniques along with skills in data mining, relational databases, programming in PYTHON etc.
AI and Machine learning courses are a major need in today’s techno world. The postgraduate course in Machine learning helps to improve the skills in the same field.
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.
Zurich is the largest city in Switzerland. It is discovered by Romans and the people who speak the German language in Zurich. The population of Zurich is about 421875 as of the census of 2020. The GDP per capita of Zurich city is about $70000. The city of Zurich is located at an elevation of 408m above sea level. It has an area of about 98.88 square kilometres and is made on the lake of Zurich. Zurich has an oceanic climate with warm summers and four distinct seasons. Zurich is one of the best travel places that has to be visited. It is famous for its chocolate manufacturing industries and various attractions for tourists.
The major attractions of Zurich are: