In accordance with the 2018 Forrester report, IBM rightly finds a place 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 Mountain View 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-driven services along with its widely used technology consulting services.
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) 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 Mountain View, 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 Mountain View, 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 Mountain View 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 Mountain View 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 Mountain View, you master key Python libraries like Scikit, SciPy, and NumPy 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 Mountain View, you will be technically fluent in the following domains:
AI course in Mountain View, is the best training for improving your skills.
With the Artificial Intelligence course in Mountain View, 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 Mountain View 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 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. But, now the company is seeking to create and deploy a predictive algorithm offering 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 Mountain View 311 | Domain: Telecommunication
Here, you need to perform a service request data analysis of Mountain View 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 - 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. You are further needed to use analytics fundamentals to create stock price and stock trade volume 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 Mountain View is suitable professionals working across verticals and disciplines, including:
Most AI courses in Mountain View 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.
The Artificial Intelligence course in Mountain View City will give you an insight into Artificial Intelligence 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 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 Mountain View City co-developed with IBM, you will receive the following:
You can enroll for this AI certification training in Mountain View City 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.
Data is known as the 21st-century oil, and as the data science branch is advancing every day, artificial intelligence and machine learning are also growing. A machine learning engineer in Mountain View earns about $113,143 per year. However, candidates can increase their income by acquiring the right skills by doing Artificial Intelligence Training Mountain View.
Some major companies that frequently hire a candidate with Artificial Intelligence Training Mountain View are Bytedance, Cisco Systems, Jhonson and Jhonson, Infosys Limited, and Apple. Out of all the major companies, these open the position of a Machine Learning Engineer with a decent salary.
The majority of the population in Mountain View is employed in a sector related to technology, health care, and retail. These sectors offer a lot of great opportunities to the candidates who apply for the job, especially those who have pursued Artificial Intelligence Training Mountain View.
Mountain View was officially registered as a city of California in 1902. Since then, it has been home to many Americans and immigrants. As per the recent data available, the total population is estimated to be around 83,377.
A candidate with Artificial Intelligence Training Mountain View enjoys the economic importance of Mountain View. The contribution in the field of technology, aerospace, and electronics has been applauded several times. The per capita GDP is estimated to be around $67,042 and it is growing at the rate of 6.8%.
At an elevation of 105 ft, the climate that prevails over the city is dry & warm during the summer season and mild & wet during the winter season.
Mountain View is a city that offers a wide range of experiences to the person visiting there. One can visit a museum, shop at a farmer’s market, or witness a live play at a theater. You can ask the locals to gain more information about Artificial Intelligence Training Mountain View. Some notable attractions are: