IBM is the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. The AI courses in Kenya designed in collaboration with IBM will make students industry-ready for Artificial Intelligence and Data Science job roles. IBM is a leading cognitive solutions and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions in US Inventors Hall of Fame.
What can I expect from this Simplilearn program developed in collaboration with IBM?
Upon completion of this Artificial Intelligence course in Kenya, you will receive the certificates from IBM and Simplilearn in the Artificial Intelligence courses on the learning path*. These certificates will testify to your skills as an expert in Artificial Intelligence. You will also receive the following:
This co-developed Simplilearn and IBM Artificial Intelligence Engineer Master’s Program is a blend of Artificial Intelligence, Data Science, Machine Learning, and Deep Learning, enabling the real-world implementation of advanced tools and models. The program is designed to give you in-depth knowledge of Artificial Intelligence concepts including the essentials of statistics required for Data Science, Python programming, and Machine Learning. Through these AI courses in Kenya, you will learn how to use Python libraries like NumPy, SciPy, Scikit, and essential Machine Learning techniques, such as supervised and unsupervised learning, advanced concepts covering artificial neural networks and layers of data abstraction and TensorFlow.
Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics, and customer service. A role in this domain places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond.
The current and future demand is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for AI Engineers with the required skills.
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This Artificial Intelligence course in Kenya co-developed with IBM includes over 15 real-life, branded projects in different domains. These projects are designed to help you master the key concepts of Artificial Intelligence like supervised and unsupervised learning, reinforcement learning, support vector machines, Deep Learning, TensorFlow, neural networks, convolutional neural networks, and recurrent neural networks.
This AI training in Kenya includes a capstone project allowing you to revisit the concepts learned throughout the courses. You will go through dedicated mentored classes in order to create a high-quality industry project, solving a real-world problem. The capstone project will cover key aspects from exploratory data analysis to model creation and fitting. To complete this capstone project, you will use cutting edge Artificial Intelligence-based supervised and unsupervised algorithms like Regression, Multinomial Naïve Bayes, SVM, Tree-based algorithms, and NLP in the domain of your choice. After successful submission of the project, not only will you be awarded a capstone certificate but you will have a project that can be showcased to potential employers as a testament to your learning.
Project 1: Fare Prediction for Uber | Domain: Delivery (Commerce)
Uber, one of the largest US-based taxi providers, wants to improve the accuracy of fare predicted for any of the trips. Help Uber by building and choosing the right model.
Project 2: Test bench time reduction for Mercedes-Benz | Domain: Automobile
Mercedes-Benz, a global Germany-based automobile manufacturer, wants to reduce the time it spends on the test bench for any car. Faster testing will reduce the time to hit the market. Build and optimize the algorithm by performing dimensionality reduction and various techniques including xgboost to achieve the said objective.
Project 3: Products rating prediction for Amazon | Domain: E-commerce
Amazon, one of the leading US-based e-commerce companies, recommends products within the same category to customers based on their activity and reviews on other similar products. Amazon would like to improve this recommendation engine by predicting ratings for the non-rated products and add them to recommendations accordingly.
Project 4: Demand Forecasting for Walmart | Domain: Sales
Predict accurate sales for 45 stores of Walmart, one of the leading US-based leading retail stores, considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.
Project 5: Improving customer experience for Comcast | Domain: Telecom
Comcast, one of the leading US-based global telecommunication companies wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction if any. The company is also looking for key recommendations that can be implemented to deliver the best customer experience.
Project 6: Attrition Analysis for IBM | Domain: Workforce Analytics
IBM, one of the leading US-based IT companies, would like to identify the factors that influence the attrition of employees. Based on the parameters identified, the company would also like to build a logistics regression model that can help predict if an employee will churn or not.
Project 7: NYC 311 Service Request Analysis | Domain: Telecommunication
Perform a service request data analysis of New York City 311 calls. You will focus on data wrangling techniques to understand patterns in the data and visualize the major complaint types.
Project 8: MovieLens Dataset Analysis | Domain: Engineering
The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The researchers of this group are involved in several research projects in the fields of information filtering, collaborative filtering, and recommender systems. Here, we ask you to perform an analysis using the Exploratory Data Analysis technique for user datasets.
Project 9: Stock Market Data Analysis | Domain: Stock Market
As a part of this project, you will import data using Yahoo data reader from the following companies: Yahoo, Apple, Amazon, Microsoft, and Google. You will perform fundamental analytics, including plotting, closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all of the stocks.
With the demand for AI in a broad range of industries, Simplilearn’s AI course in Kenya is well suited for a variety of roles and disciplines, including:
Participants in this program should have:
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.
The Data Science with Python certification course provides a complete overview of Python's Data Analytics tools and techniques. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock 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 58 hrs of Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning Certification training, master Machine Learning Concepts required for a Machine learning certification. This Machine Learning online training will provide you 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 and implement deep learning algorithms, preparing you for a career as Deep Learning Engineer.
Advanced Deep Learning and Computer Vision
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 science that involves the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence. Computers can be trained to accomplish tasks by processing large volumes of data and recognizing patterns in that data using different AI techniques.
It was during the 1950s that saw the generation of mathematicians, philosophers, and scientists who had culturally assimilated the concept of AI in their minds. Alan Turing was a British polymath who came up with the idea of the mathematical possibility of artificial intelligence.
Here are some of the top online courses in AI:
Professionals willing to start their career in AI should have a clear understanding of math concepts like statistics, probability, linear algebra, calculus, and Bayesian algorithms. They need to be skilled in physics, cognitive learning theory, mechanics, and language processing. Proficiency in any one programming language, data structure, and logic is also recommended.
An Artificial Intelligence Engineer works with Machine Learning algorithms, neural networks, and other techniques in various types of business worldwide. They build, test, and deploy Artificial Intelligence models and are responsible for maintaining the Artificial Intelligence infrastructure. This role can have many responsibilities in an organization, such as:
The Artificial Intelligence course 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 course will train you on Python, Machine Learning techniques, including data reprocessing, regression, clustering, and Deep Learning methodologies and its applications using TensorFlow.
The world is wide open for professionals who have a clear understanding of AI concepts. They can apply for job roles like AI Specialist, Machine Learning Engineer, NLP Scientist, AI Research Analyst, Data Scientist, and so on.
With a pool of resources available over the internet, finding a reliable training program is often a daunting task. The best Artificial Intelligence course is one that covers all the important concepts of AI from beginners to advanced levels. The trainer should be highly qualified and should have rich industry experience. Theoretical knowledge should be coupled with practical skills through industry projects, case studies, end-of-chapter quizzes, virtual labs, working on tools, and assignments. Our AI certification course fulfills all your learning needs.
Here is the list of the top 10 industry sectors that are majorly using AI applications:
As a part of this AI certification training in collaboration with IBM, you will receive the following:
Yes, our AI certification training includes all the basic neural networks you should know about when studying AI and deep learning.
Upon completion of the following minimum requirements, you will be eligible to receive the certificate that will testify to your skills as an Artificial Intelligence Engineer.
|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||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 training is all you need to gain expertise in the subject, some prefer to reinforce their understanding through books. Here are some of the good books you can refer to:
Following are the list of AI courses for which you will get IBM certificates:
You can enroll for this AI certification training 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.
Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.
Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.
All of our highly qualified Artificial Intelligence trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Artificial Intelligence in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.
We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Artificial Intelligence course with us.
Yes, we provide a practice test as part of the Artificial Intelligence course to help you prepare for the certification exam. You can try these free Artificial Intelligence Exam Questions to understand the type of tests that are part of the course curriculum.
Yes, the Artificial Intelligence course is ideal for both beginners as well as experienced professionals. Simplilearn offers the JobAssist program (only for India learners) in partnership with IIMJobs where you get the necessary career guidance and become eligible to apply for AI and ML jobs.
Yes, you can access the self-paced study material even after you complete our artificial intelligence course for future reference.
For hands-on execution of industry projects, Simplilearn offers integrated labs that you can access right from your LMS. The guidance regarding the installation and deployment of the tools will be given within the LMS of this AI course.
The Capstone Project of this AI certification training helps you revise the concepts learned throughout the course. When you complete the Capstone project successfully, you will receive a certificate that will demonstrate your skills to potential employers.
This Artificial Intelligence course is ideal for both beginners and professionals.
Artificial intelligence is the technology driving the Fourth Industrial Revolution. It is penetrating every industry and we are just now witnessing its initial applications. In the future, advancements in AI will do more wonders and will further change the way humans perform a variety of tasks.
AI skills are in high demand and skilled professionals command handsome salaries. In the US, AI Engineers earn an average base pay of around $125K per year. (source: Payscale).
Participants in this AI certification training should have an understanding of the fundamentals of Python programming and basic knowledge of statistics.
AI and its subset, machine learning, are proving to be useful in a variety of sectors like retail, banking, aviation, manufacturing, information technology, and more. Self-driving cars, image recognition, speech recognition, fraud detection, spam filtering, and voice assistants are some of the common applications powered by this technology. AI can help reduce human errors, automate various mundane tasks, innovate faster, and work around the clock.
When you are stepping into the world of artificial intelligence, you will come across some interesting technologies like:
There are generally three types of AI:
In another classification, these are the types of AI:
AI aims to make machines possess human-like intelligence and give them the capability to perform actions that are usually done only by humans. AI-powered systems are expected to perceive their surroundings and solve the problems they are designed for.
Python, Prolog, Java, and C++ are the top programming languages used for Artificial Intelligence.
Job roles like Data Scientists, AI Engineers, Machine Learning Engineers, NLP Scientists, AI Researchers, and Data Architects require knowledge of Artificial Intelligence.
You need the right blend of technical skills if you are planning to start a career in Artificial Intelligence. If you don’t have any prior experience, our AI certification training will help you become job-ready. By learning all the AI concepts from our industry experts and enhancing your practical knowledge through real-world projects, you can take a step closer to a career in AI.
AI is engaged in many significant developments, from driverless to fraud detection protocols. The need for AI personnel will probably increase for developing businesses and companies as technology progresses. That is why these experts may also have excellent income prospects. The AI expertise could potentially lead to jobs in many fields. You may contribute to these causes by mastering artificial intelligence. Consider getting AI certification to improve your professional marketability as you build your specialty.
Interested candidates can check the generic eligibility criteria to be met by applicants before they join the artificial intelligence course.
The familiarity of machine learning (ML) and IoT are advantageous for applicants wishing to pursue an artificial intelligence job (AI).
Participants should have the following prerequisites before pursuing AI certification training:
The scope after pursuing Artificial Intelligence courses is enormous. AI-Expert, machine-learning engineer, robotics engineer, Data Scientist, and data analyst are few crucial roles. By joining reputed AI certification programs, you'll be able to keep ahead while looking for jobs in AI.
Most industries have digitized, and demand for AI professionals in the job market has begun. Once the AI training has been completed, students can find careers in many areas, such as IT, business, marketing, and financial markets.
From tech startups like Argo AI to giants such as Microsoft, IBM, Accenture, Intel, Samsung, Adobe, Lenovo, Amazon, NVIDIA, Facebook, and many more businesses hire AI graduates. To pursue an artificial intelligence career, look at the benefits of our AI training program.
AI careers are proof of the future, which means that they will survive well into the future. Professional AI certification is one of the most important ways to provide an employer the trust and legitimacy of the person they want to employ. Simplilearn's AI certifications offer value to your curriculum vitae, help you understand AI concepts thoroughly, and increase your pay to match your AI Engineer's income.
This role demands combined software development, programming, data science, and data engineering expertise. It usually requires a bachelor's degree in computer science, data science, engineering, physics, math, statistics, or another quantitative field. AI certification can also help you meet academic requirements and develop technological expertise.
Some of your applications with an IT degree and AI certification are video game programmer, robotics programmer, machine learning scientist, data mining analyst, data scientist, data science manager, research scientist, software engineer. Those with this unusual blend of talents and experience to the actual world may play any role in AI and shape the landscape of this ever-changing field in years to come.
AI Engineers are persons active in problem-solving or artificial intelligence technology. They create, test, and implement AI models together with AI infrastructure management. They cruise by traditional software models and machine learning models. Our Artificial Intelligence course offers a unique opportunity to learn from industry leaders and work with some of the world's most well-known enterprises. You build appropriate AI and computer-based abilities and those before your graduation that correspond with your selected specialization.
Pursuing Artificial intelligence brings up a world of possibilities. The AI Certification course can now train new software engineers researching neural networks, human-machine interfaces, and quantum AI. It is an excellent opportunity for newcomers who wish to jump and go out of the field of AI.
The hottest and most challenging field is artificial intelligence, and most AI developers desire to do their job. The right and effective way to learn is to go by the best available reliable resources. Hence here are the top AI Books to refer to.
Consider also joining our AI training program as the first step into a successful career in the exciting field of artificial intelligence.
In different cities, you will find varied pay ranges, primarily due to the distinct gaps in the talents in each location, the cost of living, and expectations for skills. Good abilities and expertise candidates can easily persuade top-level firms to pay much. In the view of prospective employers, AI certification might make you more reputable. An AI expert may expect to earn the following average annual salary: