All course fees are in USD)

Course Description

The Artificial Intelligence course, collaborated with IBM through Simplilearn,  introduces learners to blended learning and prepares them to be specialists in AI and Data Science. This AI course will prepare learners for careers in Artificial Intelligence and Data Analytics

About IBM

IBM is the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018).  This online course introduces learners 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 New York of US, offering a plethora of technology and consulting services.

Each year, IBM invests about US$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.

Offered in Partnership with

Simplilearn

Co-Developed by

IBM / Simplilearn

Course Delivery

• Online self-paced learning (10+ hours)
• Virtual classroom training (150+ hours)

Total: 160+ hours online blended learning

Benefits

• Total 211 hours online blended learning (19 hours self-paced learning & 192 hours of instructor-led training)
• Real-life projects providing hands-on industry training
• 10 In-demand skills
• Portfolio-worthy capstone demonstrating mastered concepts

Skills to be Learned

Tools Covered in the Course

• Python
• TensorFlow
• Keras
• Django
• Flask
• OpenCV
• NLTK
• OCR
• Scikit Learn

Award upon Successful Completion

Upon completion of this Online Program, you will receive the certificate from IBM and Simplilearn respectively. The certificates will testify to your skills as an expert in artificial intelligence.

Awarding Organisations

IBM / Simpliearn

Learning Outcomes

• Learn about major applications of Artificial Intelligence across various use cases across various fields like customer service, financial services, healthcare, etc.
• Implement classical Artificial Intelligence techniques such as search algorithms, neural networks, and tracking.
• Gain the ability to apply Artificial Intelligence techniques for problem solving and explain the limitations of current Artificial Intelligence techniques.
• Master skills and tools used by the most innovative Artificial Intelligence teams across the globe as you delve into specializations, and gain experience solving real-world challenges.
• Design and build your own intelligent agents and apply 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.
• Understand concepts of TensorFlow, its main functions, operations, and the execution pipeline.
• Understand and master concepts and principles of Machine Learning, including its mathematical and heuristic aspects.
• Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks, and high level interfaces.
• Learn to deploy deep learning models on Docker, Kubernetes, and in serverless environments (cloud)
• Understand fundamentals of Natural Language Processing using the most popular library; Python’s Natural Language Toolkit (NLTK).

Assessments

Real-life projects in various areas are included in this Artificial Intelligence course co-developed with IBM. These projects are intended to help you grasp essential AI topics like supervised and unsupervised learning, reinforcement learning, support vector machines, deep learning, TensorFlow, neural networks, convolutional neural networks, and recurrent neural networks.

This Artificial Intelligence Certification training includes a capstone assignment that allows you to review principles learned so far. You’ll take specialized guided classes to develop a high-quality industrial project that addresses a real-world problem. This AI course capstone project will cover everything from exploratory data analysis to model construction and fitting. You will employ cutting-edge AI-based supervised and unsupervised algorithms such as Regression, Multinomial Naive Bayes, SVM, Tree-based algorithms, and NLP in the topic of your choice to complete this capstone project. You will receive a capstone credential for completing the project. Still, you will also have a project to present to future employers as evidence of your learning from this Artificial Intelligence course.

• Project 1

Socials

To reduce social hatred and negativity, create a model that employs natural language processing and machine learning to recognize inappropriate tweets that should be removed from the Twitter site.

• Project 2

E-commerce

Amazon Prime videos’ movie reviews are included in data collection. Analyze the Amazon customer movie reviews data set and create a Machine Learning recommendation system that assigns scores to each user.

• Project 3

Automobile

Mercedes wants to reduce time spent on its test bench to reduce its time to bring a product (car) to market. Create and optimize a Machine Learning algorithm to solve this challenge.

• Project 4

Retail

Create a predictive model to predict sales for Walmart stores while taking special discount events into account. Examine how sales are affected by macroeconomics variables such as the CPI and unemployment rate as features.

• Project 5

Telecommunications

Comcast intends to increase customer happiness by identifying and addressing issue areas and is looking for solutions that might be implemented.

• Project 6

E-commerce

Based on the data set supplied, ML engineers must do data analysis on Amazon user evaluations of various items and forecast sentiment or satisfaction based on feature or review content.

• Project 7

Finance

The banking industry is the most prevalent employer of data scientists. Scammers that try to fool the system are continuously targeting it. Credit card businesses must be able to discover illicit credit card frauds, notwithstanding the difficulty of precisely recognizing fraudulent and illegal activities. Several methodologies, such as classification with overfitting, unsupervised detection approaches, and heuristics, must be used to achieve maximum accuracy in detecting fraud.

• Project 8

Retail

The most significant aspect of managing the retail supply chain is demand forecasting. Professionals must grasp Data Science and ensemble methodologies to do so efficiently. For the following month, you must forecast daily sales for each store.

Who Should Enrol

• Individuals with interest in working as an AI or Machine Learning Engineer.
• Analytical managers supervise a group of analysts.
• Data architects who want to learn about artificial intelligence systems and algorithms.
• Data analysts are interested in working in machine learning or artificial intelligence.
• Professionals interested in artificial intelligence or machine learning as a profession.
• Experts wish to improve their understanding of their fields by using Artificial Intelligence.
• Graduates looking to build a career in Artificial Intelligence and Machine Learning

Prerequisites

Course Overview

• Course 1 – Introduction to Artificial Intelligence
• Course 2 – Data Science with Python
• Course 3 – Machine Learning
• Course 4 – Deep Learning with Keras and TensorFlow
• Course 5 – AI Capstone Project
  

Electives

• Python for Data Science
  
• Advanced Deep Learning and Computer Vision
  
• Natural Language Processing (NLP)
• Industry Master Class – Artificial Intelligence

Access Period of Course

1 year from date of enrolment

Customer Reviews

…. 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.

After completing this course, I was considered for new AI projects at my company, and my salary increased by 39%….. flexible learning method helped me manage my job simultaneously while studying.

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.

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.

I’ll give it a five-star rating…I enrolled in this course…the course content, shared drive, documents, pdf files, and — most importantly, the trainer — all are awesome…….

Venkatesan Sundaram

….. I learned a lot of new and interesting concepts. This course covered important AI topics including, image processing, deep learning, etc. The real life examples helped us understand the concepts better.

……Thanks to the course teachers and others associated with designing such a wonderful learning experience.

I would give a 5-star rating….. It helps me understand the content easily through online self-learning videos, and trainers assist us with their enriched knowledge, as well.

I had a great learning experience, overall. The course content met the quality standards and the instructors were highly knowledgeable. The live classes were engaging, too. After the course completion, I am now working as a consultant.

Vishwanath Ragha

The awesome learning experience……. 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.

Karan Pal Singh Bagga

……The course content is excellent as compared to any other institute. Faculties are very experienced and skillful.

The Deep Learning with Tensorflow was handled very well ….. – 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.

Sudipta Samanta

The courses are well-structured with self-learning, live classes, projects & assessment. The trainers are well trained, connect well with the students, and are good at resolving your questions. The course content is excellent.