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Artificial Intelligence

Complete guide to artificial intelligence, preparation for deep reinforcement learning with stock trading applications.

What you'll learn
  • Understand reinforcement learning on a technical level
  • Implement various types of reinforcement learning algorithms
  • Understand the relationship between reinforcement learning and psychology
  • Apply gradient-based supervised machine learning methods to reinforcement learning
Artificial Intelligence

Artificial Intelligence

This Artificial Intelligence Program, 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.

Course Content

Section A: Introduction to Artificial Intelligence
  • Introduction to Artificial Intelligence (AI)
  • History of AI
  • Importance and other Philosophies about AI
  • General Approaches and Goals of AI
  • Components of AI
  • Working Domains/Companies/Products in Current Market
  • Programming Languages Used for AI
  • Python Programming
Section B: Python Programming
  • Basic of python and why python for Artificial Intelligence
  • Installation of software on different OS.
  • Understanding basic syntax with data types
  • Number, String, List, Tuple, Dictionary
  • Extracting data from a file
  • Committing your code to GIT
Section C: More about Python Programming
  • Conditional statement and loops
  • Function and modules
  • File handling
  • Creating own modules / library
  • Web scraping with urllib2
  • Grabbing system information from Popen and os library
  • Scanning Network IP & MAC address with loops
Section D: Libraries Used
  • Introduction to Numpy & Matplotlib
  • Managing arrary with numpy
  • Multidimensional array with numpy
  • Unit matrix handling & creating
  • Deleting indexes from matrix
  • Deep dive with Matplotlib
  • Drawing general purpose graphs
  • Graphs with mathematic
Section E: Linear Regression
  • Using House Price Prediction
  • Simple Linear Regression
  • Polynomial Linear Regression
  • Cost Function of Linear Regression
  • Understanding linear regression using mat
Section F: Neural Networks analysis
  • Introduction to Neural Network
  • Understanding neural networks
  • Data learning and machine predictions
  • Neural networks real understanding
  • Neural network implementation with real datasets
  • Natural Language Processing
  • Tokenizing text data
  • Converting words to their base forms using stemming
  • Converting words to their base forms using lemmatization
  • Dividing text data into chunks
  • Extracting the frequency of terms using a Bag of Words model
  • Building a category predictor
Section G: Image Processing & ML
  • Introduction to Image Processing
  • How image search is going to work
  • Taking pictures with python for image processing
  • Loading and registering images
  • Face/Object detection
Section H: Projects
  • Face Detection / Recognition and Automation
  • Intelligent Blind Stick
  • Ecommerce Product Recommendation

Coming Soon...

Pre-Requesties

  1. 1. Basic Knowledge of Python.
  2. 2. Should have laptop.

Training Benefits

  1. 1. Internship & full-time job offer after training
  2. 2. Certificate of Excellence by IIT Bhubaneswar.
  3. 3. Learn from Industry Experts
  4. 4. 90% practical internships
  5. 5. Live classes
  6. 6. ISO Certificates
  7. 7. Placement Interviews