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Artificial intelligence and machine learning is a stepping stone for the Data Scientists who can utilize the techniques and methods proposed by Artificial Intelligence and machine learning to execute new projects and for the development in the field of virtual reality.

Artificial Intelligence lets machines to accurately transliterate extrinsic data, to assimilate such data and to use those assimilations to accomplish specific goals and tasks via versatile acclimatization.

Artificial Intelligence and machine learning is a domain of study that deals with the conversion of conventional computers into ‘SMART’ computers.

Artificial Intelligence allows a computer program or a machine to have the abilities associated with thinking and learning. With the aid of AI, machines and computers can work effortlessly on their own without being ciphered with commands.


The training at way2career involves a truly intelligible approach towards learning and understanding various concepts relating to Artificial Intelligence and Machine Learning.

Learning is done through a variety of methods that are based on a heuristic approach in order to contemplate the curriculum. 

The modules are formulated to provide structured learning to all the participants.

 The curriculum we follow at way2career is in synchronization with the contemporary examination of artificial intelligence and machine learning.

All our courses are designed to deliver overall growth and development to each and every participant.


Production of Artificial Intelligence exploration to develop computer programs that can acquire knowledge, attain problem-solving potentiality and can deliberate logical conclusions.

Gaining an insight into various governing fields of Artificial Intelligence like computer science, mathematics, linguistics, psychology, neuroscience and philosophy and how that knowledge can be used and remodelled to create wonders in the field of Artificial Intelligence and Machine Learning.

Application of cognitive intelligence, to bring about the cognitive depiction of the world employing learning based on former experience to notify future decisions.

Understand the fundamentals of the heuristic approach for exploration and genetic programming.

Bring to light, how to construct intelligent applications pivoted on images, text and time-series data.

Usage of deep learning algorithms and put up applications based on it.

Illuminate yourself with the basics of text processing.

Apprehend the concept of clustering and know how to use it to segregate data electronically.

Acquire cognizance into python, natural language, speech recognition, advance deep learning, machine learning, computer vision, and reinforcement learning.

The course lets you gain knowledge of how to begin building Artificial Intelligence models from scratch without any prior coding experience.

It also allows you to optimize your knowledge of Artificial Intelligence to reach its maximum potential in the real world.

Learn to code afresh from the start and get to know how each line comes together to form meaning.

No bombardment of dense and complex concepts and theories. The course lets you attain an understanding of not only what you’re doing but why you’re doing it thus encourages you towards Artificial Intelligence coding.

The certification allows you to contemplate the risks and challenges that are faced by the professionals in the actual workplace. This lets you tackle the problems with better solutions that are in accordance with Artificial Intelligence and Machine Learning concepts.


Ideal knowledge of python programming is recommended.

Acquaintance with Data Science.

High school mathematics is essential.


50 hours of intensive training spread across 8 days (4.5 hours per day) and 9 hours per day in case of Classroom training.

We offer e-learning as a free service from our end to participants who choose the live virtual classroom training mode.

Study materials in printable forms are provided to ease the learning.

Our trainers are industry veterans and experienced individuals, having worked for more than 20 years in the industry they are well qualified to provide industry exposure to the candidates.


  • Sl. No.
  • Chapter
  • Module - 1
  • Brief Introduction To Python
  • Module - 2
  • Exploratory Data Analysis
  • Module - 3
  • Introduction to Machine Learning
  • Module- 4
  • Machine Learning:Supervised Learning
  • Module- 5
  • Machine Learning:Unsupervised Learning
  • Module - 6
  • Ensemble Techniques-Bagging & Boosting
  • Module - 7
  • Natural Language Processing
  • Module- 8
  • Time Series Forecasting
  • Module - 9
  • Introduction to Neural Networks and Deep Learning
  • Module -10
  • Recommendation System
  • Module-11
  • Introduction To Computer Vision Using Open CV
  • Module -12
  • Introduction to Reinforcement Learning (RL)