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Introduction to Artificial Intelligence Course

This Artificial Intelligence course, co-developed with IBM, gives training on the skills required for a successful career in AI. Throughout this exclusive training program, you'll master Deep Learning, Machine Learning and the programming languages required to excel in this domain and start your career in Artificial Intelligence.

Key Features of Artificial Intelligence Course
  • Industry Recognized Certification - From IBM and Simplilearn
  • Capstone and 15+ Real-Life Projects
  • 20+ In-Demand AI Skills and Tools
  • Lifetime access to self-paced learning
What are the learning objectives of this Artificial Intelligence Course?

This co-developed Simplilearn and IBM Artificial Intelligence Course is a blend of Artificial Intelligence, Data Science, Machine Learning, and Deep Learning, enabling the real-world implementation of advanced tools and models. The 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 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.

What skills will be covered in this Artificial Intelligence Course?

By the end of this Artificial Intelligence Course, 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, agent decision-making functions and more
  • 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
Who should take this Artificial Intelligence Course?

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:

  • Developers aspiring to be an 'Artificial Intelligence Scientist' or Machine Learning engineers
  • 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
What are the prerequisites for this Artificial Intelligence Course?

Participants to take this course should have:

  • Understanding of the fundamentals of Python programming 
  • Basic knowledge of statistics
  • Basic machine learning knowledge
What are my job opportunities on completing this Artificial Intelligence Course?

Upon completion of the Artificial Intelligence Engineer 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 trained professionals include:

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

Outline

  • Course 1: Introduction to Artificial Intelligence
  • Course 2: Data Science with Python
  • Course 3: Machine Learning
  • Course 4: Deep Learning Fundamentals by IBM
  • Course 5: Deep Learning with TensorFlow
  • Course 6: AI Capstone Project

Speaker/s

Course Advisors
  • Mike Tamir, No. 1 AI & Machine Learning Influencer, Head of Data Science - Uber ATG

    Named by Onalytica as the No.1 influencer in AI & Machine Learning space, Mike serves as Head of Data Science for Uber ATG self-driving engineering team and as UC Berkeley data science faculty.

  • Vivek Singhal, Co-Founder & Chief Data Scientist, CellStrat

    Vivek is an entrepreneur and thought Leader in Artificial Intelligence and deep-tech industries. He is a leading data scientist and researcher with expertise in AI, Machine Learning, and Deep Learning. 

Special Offer

Please click on the course page and chat with our career counselor's to get a discount on the course fee.

Course page link: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course
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