The AI course, designed in collaboration with IBM introduces students to an integrated blended learning, making them experts in the area of Artificial Intelligence and Data Science. 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 the US Inventors Hall of Fame. IBM is recognized as a leader in the 2021 Magic Quadrant for AI and Machine Learning. The AI courses online, designed in collaboration with IBM will make students industry-ready for Artificial Intelligence and Data Science job roles.
What can I expect from this Simplilearn Artificial Intelligence course developed in collaboration with IBM?
Upon completion of this AI training, you will receive certificates from IBM (for IBM courses) and Simplilearn for the courses in the learning path. These certificates of Artificial Intelligence training will testify to your skills as an expert in AI course to master Artificial Intelligence. You will also receive the following:
By the end of this AI certification training, you will be able to accomplish the following:
The Artificial Intelligence course co-developed by Simplilearn and IBM is a blend of AI, Data Science, Machine Learning, and Deep Learning, enabling the real-world implementation of associated advanced tools and models. This AI certification course 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 best AI courses, you will learn how to use Python libraries like NumPy, SciPy, Scikit-learn, 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. After completion of Artificial Intelligence training 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.
This Artificial Intelligence certification course co-developed with IBM includes over 15 real-life, branded projects in different domains. These projects in Artificial Intelligence Course 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 certification includes a capstone project allowing you to revisit the concepts learned throughout the training. You will go through dedicated mentored classes in order to create a high-quality industry project, solving a real-world problem. The capstone project of this AI course 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 Naive 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 from artificial intelligence course.
Project 1
Social Media
Using NLP and Machine Learning, build a model to identify inappropriate tweets that should be removed from the Twitter platform to prevent social hate and negativity.
Project 2
E-commerce
The data set provided contains movie reviews given by Amazon customers. Perform data analysis on the Amazon customer movie reviews data set and build a Machine Learning recommendation algorithm that provides ratings for each of the users.
Project 3
Automobile Manufacturing
Mercedes-Benz wants to reduce the time on its test-bench to reduce the time it takes to get a car to the market. Build and optimize the Machine Learning algorithm to solve this problem.
Project 4
Retail
Predict accurate sales for Walmart stores considering the impact of promotional markdown events. Check the impact of macroeconomic factors like CPI and unemployment rate on sales.
Project 5
Telecommunications
Comcast wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction and is seeking recommendations that can be implemented.
Project 6
E-commerce
Perform data analysis on Amazon consumer reviews of different products based on the data set provided and predict the sentiment or satisfaction based on feature or review text
Project 7
Finance
The Finance Industry is the biggest employer of Data Scientists. It faces constant attacks by fraudsters who try to trick the system. Correctly identifying fraudulent transactions is often a difficult task, but it is important that credit card companies are able to recognize fraudulent credit card transactions. You are required to try various techniques such as supervised models with oversampling, unsupervised anomaly detection, and heuristics to achieve maximum accuracy in fraud detection.
Project 8
Retail
Demand forecasting is one of the key tasks in operating and optimizing the retail supply chain. To do so effectively, professionals must have a good understanding of Data Science and ensemble techniques. You are required to predict the daily sales for each store for one month.
With the demand for AI in a broad range of industries, Simplilearn’s AI course is well suited for a variety of roles and disciplines, including:
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.
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 AI courses:
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 AI 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 AI 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.