AIMLP (Artificial Intelligence and Machine Learning Professionals )

AIMLP (Artificial Intelligence and Machine Learning Professionals )

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: AN OVERVIEW :

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.

WHY YOU SHOULD GO FORWARD WITH WAY2CAREER?

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.

OBJECTIVES OF THE TRAINING:

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.

ELIGIBILITY CRITERIA:

Ideal knowledge of python programming is recommended.

Acquaintance with Data Science.

High school mathematics is essential.

COURSE HIGHLIGHTS :

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.

Curriculum

Sl. No. Chapter
Chapter - 1 Basics of AI & Introduction
Chapter - 2 Math for Machine Learning – Statistic & Linear Algebra
Chapter - 3 Introduction to Python Programming
Chapter - 4 Data Structure & Data Manipulation in Python
Chapter - 5 Visualization in python
Chapter - 6 Linear Regression
Chapter - 7 Logistic Regression
Chapter - 8 Decision Trees with Case Study
Chapter - 9 Random Forests
Chapter - 10 Artificial Neural Networks 
Chapter - 11 Naïve Bayes Algorithm 
Chapter - 12 Support Vector Machine 
Chapter - 13 Clustering 
Chapter - 14 Principle Component Analysis
Chapter - 15 Gradient Boosting Methods
Chapter - 16 Introduction to TensorFlow & keras
Chapter - 17 Convolutional Neural Networks 
Chapter - 18 Recurrent and Recursive Nets 
Chapter - 19 Autoencoders, RBM
Chapter - 20 Natural Language Processing
Chapter - 21 Reinforcement Learning (RL)
Chapter - 22 Q Learning
Chapter - 23 Sarsa
Chapter - 24 Deep Q-Network
Chapter - 25 Policy Gradient

FAQ

The AI and ML certification deal with the use of artificial intelligence to make machines ‘SMART’ and capable of cognitive thinking.
At Way2career.co, we impart training through three modes namely, E-Learning, Live Virtual Classroom Training, and Classroom training.
If you face any problem or need any assistance or guidance, kindly contact by dropping an email to support@way2career.co.
Sharing confidential information of the applicants is not entertained hence, the list can’t be shared with any fellow applicant.

E-Learning

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