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 Birmingham allows you to benefit from a unique IBM association for equipping professionals and students across the world with job-ready skills while getting them up-to-date with the recent developments in the field. With the help of this Artificial Intelligence Course in Birmingham 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 resulting in several accolades that the company is conferred upon including five Nobel prizes, nine US National Medals in Technology, six Alan Turing Awards, and many more. 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 Birmingham 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 Birmingham, 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 Birmingham, you will have the opportunity to master a very strong grasp of the most essential concepts of artificial intelligence, which include data science basics, a work-ready understanding of python programming, and strong grasp of machine learning statistics.
In this Artificial Intelligence Course in Birmingham, 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 Birmingham 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 Birmingham, you will be proficient in the following:
So doing this AI Course In Birmingham can be very beneficial.
Including over 15 real-life brand initiatives in various fields, this Artificial Intelligence course in Birmingham 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 Birmingham 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 the most latest unmonitored and supervised algorithms utilized for artificial intelligence applications - Regression, Natural Language programming, Multinomial Naïve Bayes, support vector machines 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 provides intuitive and behaviour-based recommendations to its customers in the same category as their search and based on popular reviews that match the business type or/and 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 seeks to enhance the customer experience that it offers by identifying and actioning solutions to counter issues causing lower levels of consumer 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: Birmingham 311 Service Request Analysis | Domain: Telecommunication Service Request Analysis
Conduct call analysis for Birmingham 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 Birmingham is ideal for advancement in multiple professions and disciplines owing to the record-high requirement for artificial intelligence applications in many of today's top industries, including the likes of:
This Artificial Intelligence Course In Birmingham should be attended by participants with:
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.
The Data Science with Python course provides a comprehensive overview of Python's tools and techniques for data analytics. Learning Python is a vital skill for numerous data science roles, and you can cultivate it through this course. With a blended learning approach, you can grasp Python for data science alongside concepts such as data wrangling, mathematical computing, and more and propel your career as a data scientist.
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.
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.
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 Masters in AI 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:
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