Artificial Intelligence

Key Highlights

  • 21 hours of video lectures

  • Study on mobile or laptop

  • Lifetime LMS acces

  • Live or recorded sessions

  • Certificate of completion

  • Industrial projects

  • Internship opportunities

About Course

               This course introduces learners to the core ideas of machine learning, data mining and statistical pattern recognition. It gives them a good grounding in the mathematical, statistical, and computer science fundamentals that form the basis of automated learning machines. It also imparts a basic understanding of python programming and its various libraries that are necessary to learn about artificial intelligence.

What Will You Learn?

  • Learn the basics of high-level programming languages using a simple introduction into Python programming.
  • Understanding the various modules like Numpy, Pandas, etc used to build ML systems.
  • Get an introduction into the world of Machine Learning and learn about various tools.
  • Learn to handle datasets with data pre-processing.
  • Learn how to create dashboards, storytelling and deploying models
  • Intern with us on live projects
  • Create a strong skill for your personal purpose/career
  • Get in depth knowledge about data analytics and evaluation.
  • Know which algorithm/ model to implement at different problem statements.

Course Content – Artificial Intelligence

  • What is AI?
  • Where did AI come from ?
  • Demand for AI
  • AI Classification
  • Types of AI
  • Applications of AI
  • Fuzzy Logic
  • Search Problems Using AI
  • Understanding Terms Data Science, AI, Deep Learning, ML
  • Programming languages for AI
  • Why Python?
  • Installing and using Python
  • Characteristics of Python
  • Python Data Types
  • Data Type Examples(Practical)
  • Python Libraries for AI
  • Numpy, Pandas, OpenCV (Practical)
  • What is Machine Learning?
  • Types of machine learning
  • Supervised and Unsupervised Learning
  • Some Basic definitions for AI
  • Dataset – Train & Test
  • Teachable Machines (Practical)
  • Hypothesis Space
  • Prediction Errors
  • Bias & Variance
  • Overfit and Underfit
  • Model Complexity
  • Performance – Confusion Matrix
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • SVM
  • Naive Bayes (Practical)
  • KNN
  • K- Means Clustering
  • Random Forest (Ensemble) (Practical)
  • Dimensionality Reduction
  • What are Containers
  • Advantages
  • Virtual Machine vs Containers
  • Discussion of Major Project as a part of curriculum

Learning Plans

Check the pricing plans below that suits the best of your requirements.

Self Learning

₹ 4,600

₹5,900

Save up to 30%

Mentor Learning

₹ 7,100

₹9,200

Save up to 30% 

Professional

₹11,800

₹15,300

Save up to 30% 

Certification

For your dedication and commendable efforts to learning, for completion of the training as well as the projects accurately and within the timelines given, you earn industry-recognized certifications.

On successful completion of your program, you are eligible to receive a certificate of completion from LearningBot

By taking a Learning program with LearningBot and completing your program, you get your certification which has validity of a lifetime.

After completion of your program of entire training module and assessments, you are eligible to obtain your certificate from LearningBot.

Testimonials

Frequently Asked Questions

As a user, you can avail a the payment mode of your choice. The available modes are: UPI, debit/credit card, No cost EMI, Netbanking/Mobile banking.

When enrolling into LearningBot’s training programs, you are associated with us for a duration of 2 months. Where as, with LearningBot’s Professional programs, you are associated with us for a duration of 3 months.

At LearningBot, you are mentored by industry experts who have been/are working in the industry for a decent time and have a strong grasp in their domain of expertise.

With No cost EMI as a mode of payment, you can easily avail the same if you qualify a basic eligibility criteria.