AIMLP (Artificial Intelligence and Machine Learning Professionals )
AIMLP (Artificial Intelligence and Machine Learning Professionals )
Artificial intelligence (AI) is one of the comprehensive deep learning training for the area of computer science. This certification course emphasizes the creation of intelligent machine that work and react like humans. It will help you to work on the cutting-edge of Artificial intelligence that has an only wider concept of machines being able to execute tasks in a smooth way that we generally regard it as fantastic smart. When it comes to machine learning is one of the active applications of Artificial intelligence based ideas for the machines that can do the tasks that typically require human intelligence.
Not only this, there is perfect information with regards to learning a method of making a computer that controls a robot or a software thinks intellectually in a manner that similar to human mind relatively. We are here actually just able to give the way of machines into data and let them learn by themselves. This all process might be done by deep learning through the AI & ML certification training. It is all about the concept of robot that react like human being and the AI has worked fine to give a perfect designed to its machine. On other hands this Artificial Intelligence course will provide you the best training in the skills required for a career in AI.
Main objectives of AI & Machine Learning Certifcation:
We provide the full information related to the certification course and this is why we are attached with the leading industry practitioners and development team of AI to serve its main objectives.
Some of the objectives listed down.
- This is a course that will help you to be familiar with all nut bolt of AI.
- This course helps you to recognize the tools such as Keras, TensorFlow, the Main objective of certification in AI & Machine Learning and so forth.
- This course is also covered fundamental concepts and hands-on learning of leading machine learning tools, for example, Support Vector Machine, Artificial Neural Network, Linear Regression, Python, and so forth.
- This is course will make you eligible for the perfect job role of either ML engineer, predictive Analytical, or NLP Expert in IT industry.
- This course will also help you to understand an artificial neural network especially.
- This course is providing full support for the machine learning with Python language and so on.
In addition this, there are the main objectives of Artificial intelligence and Machine Learning certification, they are committed to impact all segments of daily life with applications in a wide a range of industries like Transportation, Healthcare, Insurance, Logistic and even Customer service which is tremendously important in all respects. This AI & ML certification course is more than enough to access on above mentioned all related fields if you have Artificial Intelligence tool.
Requirements for AI & Machine Learning Certification:
- To pursue this course student should have at least three years experience, hold a bachelor’s degree in the technical field such as Computer science, Statistics, Physics, or Electrical Engineering.
- If you are the professional in Analytics, Data science domains, E-commerce, and Search engine domain you may consider for AI & Machine learning certification.
- Those students who are software professionals looking for a career switch or fresher just password their graduation degree can also join this program instantly without any hassles.
- So the fact is that anybody can take this AI & Machine Learning certification training course regardless of their prior skills and talent.
Although after confirming the requirements if you want to obtain this training however there are some doubts, we are here to provide you the information with regards its benefits help you to choose AI & Machine learning certification without making any prior decision.
Let’s know the major benefits of AI & Machine Learning Certification Training :
- It is said that AI is the best training course at the present time and taking over each industry domain.
- Machine learning and AI deep learning are the most important aspects of Artificial Intelligence that are being deployed anywhere with the help of a search engine.
- Through this course, you can apply for the cutting –edge and industry-relevant knowledge in the machine as well as AI.
- This AI & Machine Learning certification course is focusing on the essential concepts and skills needed to develop effective AI systems.
- It will help you to understand the challenges posed by AI in the workplace smoothly.
- After completing this certification course, you might be eligible to place in a reputed MNC company at the highest pay.
- We are here to provide 50 hours of the Instructor-Led Online Sessions via certified professional.
- We are here to provide the training programs based on the live industry projects.
- Avail 50 hours of the E-learning sessions .
- After completing each chapter, we conduct test in order to estimate the information related to the course.
- Obtain video recording tutorials of the training sessions so that candidates don’t miss any class abruptly.
- Providing online training based on 80% particle with different use of cases.
- Find out our well-equipped labs with the latest version of hardware and software.
- We bestow excellent live project based training with brilliant trainer who have more than 20 years of industry experience
So if you are indeed passionate about making machines then this field might be suitable for you to learn more related to this certification and training process in a systematically way. For the help and information related to this AI & ML certification training, you can feel free to get in touch with our counselors who are available at 24 by 7
|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|