Artificial Intelligence engineering, Python| 9+ Courses Bundle |IT Masters | Program

This Artificial Intelligence Engineer Master’s Program, in collaboration with IBM, gives training on the skills required to become a successful AI Engineer. Throughout this exclusive Artificial Intelligence online course, you'll master Deep Learning, Machine Learning, and the programming languages required to excel in this domain and kick-start your career in Artificial Intelligence.

Learning Path (Course Included):

Course 1: Mastering SEO, Content Marketing, PPC and Digital Analytics

Course 2: Mastering Social Media, Mobile Marketing and Digital Strategy

Course 3: Advanced Web Analytics

Course 4: Advanced Search Engine Optimization (SEO)

Course 5: Advanced Pay Per Click (PPC) Program

Course 6: Advanced Social Media (With Facebook Blueprint Voucher)

Electives: Natural Language Processing (NLP)

Electives: Industry Master Class – Artificial Intelligence

Electives: Python for Data Science

Certificate of completion

Digital certificate - Included

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 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 the US Inventors Hall of Fame.

What can I expect from this Simplilearn’s AI certification course developed in collaboration with IBM?
Upon completion of this AI certification program, you will receive the certificates from IBM(for IBM courses) and Simplilearn for the courses in the learning path. These certificates will testify to your skills as an expert in Artificial Intelligence. You will also receive the following:

Access to IBM Cloud Lite Account
Industry-recognized AI Master’s Certificate from Simplilearn
What are the learning objectives of this Artificial Intelligence course?
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 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 AI courses, 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.

Why become an AI Engineer?
The current and future demand is staggering. The New York Times reports 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.

What skills will be covered in this Artificial Intelligence course?
By the end of this AI certification training, you will be able to accomplish the following:

Understand the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence

Design and build your own intelligent agents, applying them to create practical Artificial Intelligence projects, including games, machine learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, and agent decision-making functions

Master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions

Learn how to write your own Python scripts and perform basic hands-on data analysis using Jupyter notebook

Gain an in-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing

Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package

Master the concepts of supervised and unsupervised learning models, including linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engine, and time series modeling

Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline

Master advanced topics in Artificial Intelligence, such as convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces

What projects are included in this Artificial Intelligence course?

Project 1: Fare Prediction for Uber | Domain: Delivery (Commerce)

Project 2: Test bench time reduction for Mercedes-Benz | Domain: Automobile

Project 3: Products rating prediction for Amazon | Domain: E-commerce

Project 4: Demand Forecasting for Walmart | Domain: Sales

Project 5: Improving customer experience for Comcast | Domain: Telecom

Project 6: Attrition Analysis for IBM | Domain: Workforce Analytics

Project 7: NYC 311 Service Request Analysis | Domain: Telecommunication

Project 8: MovieLens Dataset Analysis | Domain: Engineering

Project 9: Stock Market Data Analysis | Domain: Stock Market

Who should take this Artificial Intelligence course?
With the demand for AI in a broad range of industries, Simplilearn’s AI certification course is well suited for a variety of roles and disciplines, including:

Developers aspiring to be an Artificial Intelligence Engineer or Machine Learning Engineer

Analytics Managers who are leading a team of analysts

Information Architects who want to gain expertise in Artificial Intelligence algorithms

Analytics professionals who want to work in machine learning or artificial intelligence

Graduates looking to build a career in Artificial Intelligence and machine learning

Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insight

Participants in this AI certification course should have:

• An understanding of the fundamentals of Python programming
• Basic knowledge of statistics

Upon completion of the Artificial Intelligence course co-developed with IBM, you will have the skills required to help you to land a dream job. Jobs that are ideal for Artificial Intelligence certified professionals include:

• Artificial Intelligence Engineer
• Data Scientist
• Analytics Manager/Lead
• Machine Learning Engineer
• Statistical Programming Specialist