What is PGP in A.I. & Machine Learning? Here is everything to learn:
Artificial intelligence is one of the perfect tactics to learn a machine from experience. It is all about the human machine that performs like human-being like a task. Most of the engineers feel like to complete the task in an excellent form with the help of a machine. It is all about the self-task that helps to run the machine in all respects and provides useful information for the AI and ML in the perfect ways. Not only this, when you need to play any game and you don’t want to play only you want to see then you can set your computer device in the machine learning form that helps to run all the program in thecomputer device amazingly. Above-mentioned points are addressing the powerful illustration of performing the task, with the help of the machine.
How it works?
A.I. and ML is a program of eleven months that provides you intensive hands-on training to develop the necessary and unique set of skills required for a successful career in the fastest growing and intellectually exciting fields of AI and ML. There are the developers who not only understand the best concept of AI but know how to apply it using the simple platform like the online website.
Basic Eligibility Criteria of AI and ML:
It is most important to pass your graduation course with 50% marks and have 3 years of work experience in the technology and get ready to update your career. ML and AI are the perfect courses come with 6th and 11th-month duration. It’s a blended task like a classroom at the weekend and online learning. In the city of Bangalore, Gurgaon, Hyderabad, Pune, and Chennai, anybody can take the admission in PGP in AI and ML instantly.
So you can have the certification from great colleges and management institutes. If you are interested to take the admission in the AI and ML, you are always free to go through the websites of different colleges and institutes.
PGP in Machine learning:
When it comes to PGP, machine learning is one of the most exciting careers in order to build right now. In this modern world of technology, there is a high demand for Machine learning professionals in the industry and most of the people are standing in the queue for learning and enhancing the skills, exposure, and academic ability on the industry to show their passion as per the given golden opportunity. It is all about the Post graduate program in Machine learning that enables candidates to make this transition to the high-growth careers in Machine learning, Deep leaning and Data science.
Innovative approach with Machine learning:
We have an excellent program that offers a learning environment that causes minimal disruption to your work. So if you are willing to learn something important and feel like completing the task you have been given by any person, then you can follow the innovative approach that comes with the innovative classroom with the online format where sessions are conducted during the weekends and are assisted by online webinars, discussions, and assignments by the holistic learning.
Just focus on the deep learning:
It is the course for all those candidates who are interested in the program and applying deep learning algorithm. There are some of the things that might be applied with the network, deep neural networks and their variations like CNN and RNN. Both are used in domains like computer vision and natural language process formally that has been built up in the first and latest technology.
Why is PGP in Artificial Intelligence (AI) important?
- AI automates repetitive learning and discovery through data. It implies different from hardware-driven, robotic automation, instead of automating manual tasks.
- AI adds intelligence in order to present the products. In most cases, AI is not able to sell as an individual applications.
- It adapts through the progressive learning algorithms to let the data do the program, finds the structure and regularities in data. So it gives the full chance to the algorithm to acquire skills.
- AI analyzes more and deeper data using neural networks that have many hidden layers which build a fraud detection system with five hidden layers available in the machine.
- So, AI is generally used for health care, manufacturing, retail, and sports. ML is widely used for corporate collaboration, the flexibility of learning in class or online classrooms, deep learning, and much more.Additionally, ML is a perfect resource with Labs with GPU access that accelerates computing platform with GPUs and all other software tools that build up test deep learning models on complex data sets. So, todeeply understand the basic concept of AI and ML learning you may apply for the PGP in AI and PGP in Machine Learning course and get ready to contact counselor at any time.
- Executive PGPM
- PGP - Computer Science
- PGP - Data Science
- PGP - Digital Marketing
- PGP - Cyber Security
- PGP - Cloud Computing
- PGP in Mass Communication
- PGP - A.I. & Machine Learning
- PGP - Big Data Technology
- PGP – Block chain Technology
- PGP - Internet of Things
Machine learning, a form of artificial intelligence helps to examine huge volumes of complex data. Being a quick, cheap and automated process, it is vital to innumerable new and future applications. Innovative technologies such as facial recognition, recommendation engines, self-driving cars, and fraud protection are powered by machine learning powers. Data is analyzed and trends are identified by Machine Learning. Exact predictions to the business questions are received by the clients by using an amalgamation of the state-of-the-art extreme-gradient-boosting machine.What is the Eligibility criterion for Machine Learning?
- Working professionals in the field of Analytics, IT, Big Data, Machine Learning, and statistics are welcomed.
- Fresh graduates from IT, Mathematics and engineering background can apply for this course.
- Entrepreneurs who are looking forward to creating fresh products or services in ML and AI space.
- The students who pursued BCA/MCA/BE/B.Sc. (Maths)/M.Sc. (Maths)/ B.Tech with an aggregate of 50% are valid for this course.
- Candidate should hold two years of full-time work experience after graduation or post- graduation.
- Work experience can be relaxed on the basis of an application for meritorious students or young professionals.
Machine learning course is recommended for the following specialization in particular:
- This course is perfect for those who are looking forward to building their career in the field of Data Science and Machine Learning.
- For the analytics manager who is showing the way to a team of analysts
- Analytics manager who want to work in Artificial Intelligence and Machine Learning
- For the experienced professional who wants to connect the techniques of machine learning in their fields so as to gain more insight
The partakers of Machine learning should have these qualities:
- He/she should be familiar with the fundamentals of Python programming
- He should be well aware of the basics of Mathematics and statistics
- What all dexterities you will gain by learning this Machine learning course?
Following are the accomplishments you will be gaining at the end of this course:
- Recognizing the conceptions and operations of kernel SVM, decision tree classifier, support vector machine, naïve Bayes, logistic regression, random forest classifier, K-means clustering and more.
- You will be able to represent a wide range of robust machine learning algorithms which will include clustering, a recommendation system, and deep learning.
- You will be master at the concepts related to reinforcement learning, supervised and unsupervised.
- Be skilled by acquiring the thorough learning of the heuristic aspects and mathematics of machine learning.
- You will easily understand the theoretical aspect and will be able to apply them practically by Machine Learning.
- Expand your knowledge over the principles, the algorithm as well as the applications of Machine Learning through a hands-on approach which includes the working on 28 projects and one capstone project.
Machine learning is nothing but an execution of Artificial Intelligence that helps the system to learn as well as improve simultaneously from the past experiences without the need of being unambiguously programmed. In this program, you can utilize the historical data so that the informed business decisions can be made. Through this program, you will be able to observe data patterns, collect relevant information and effective decisions are made for a better future of an organization. Further, the analysis of huge quantities of data is facilitated by Machine Learning which will help to deliver faster and precise results to extract profitable benefits and opportunities.How does data help Machine learning?
There are two parts of training data: features and labels. Only by using the models, classifier gain knowledge of the features or we can say, the combinations of features re-associated with which labels.What are the learning intentions of Artificial Intelligence?
Artificial Intelligence is the course which will lead you to the path full of a successful and thrilling career in the upcoming time. The segments of daily life and the wide range of industries are impacted by this postgraduate program in Artificial Intelligence for instance insurance, healthcare, logistics, transportation, and even customer service.
Scrutinizing and making out the working mechanism of the brain is what Artificial intelligence aims at. It is also helpful in translating the knowledge into architectures of Artificial intelligence with the purpose of making the technical system more elastic, proficient and resourceful.What is the eligibility criterion for this program?
This program, artificial intelligence is basically hands on program designed for the technical professionals in which the professional should hold a minimum of 3 years of experience in the technical role with demonstrated programming experience. He should also be familiarized with the mathematics and statistics of the college level.What is the process of admission in this program?
You can apply for this program by visiting our website and applying using our online application form. All the applications are evaluated by our admission panel and if your application form is shortlisted, you will be called for an Admission screening interview.What are the expertise that I will be learning in this program?
- AI helps you with formalizing a given problem in the framework/language of diverse AI processes (example: as a problem of restrained satisfaction, problem-related search, planning problem etc)
- We are capable to apply the techniques of Artificial intelligence to solve the problems and explain the shortcomings of current AI techniques
- Employing the techniques of classical artificial intelligence such as minimal algorithm, tracking, search algorithm, neural networks
- You will be able to learn about the major applications of artificial intelligence and the use cases in diverse fields such as healthcare, financial services, customer services etc.
- By doing this program, you will be expert at building and designing your own intelligent agent and applying them to generate practical AI projects including logic constraint satisfaction problems, agent decision-making functions, machine learning models, games, knowledge based system and many more.
We can say no, as all the contents that are required will be included in the program fee and will be accessible at any time during (and after the completion of) the program. You can also purchase your additional material for your individual reference and if the faculty recommends it.Can I brush up my programming before starting this program? If yes, then how can I do that?
Yes, you can definitely do that but once admitted. You will be given a programming refresher (online) on python. It is suggested to complete these introductory online courses so that you are ready from day one of the programs.What projects will be included in this program?
There are multiple real life and industry-based projects on different domains that are included in the Artificial Intelligence Master's program so that you are an expert in the concepts of artificial intelligence like Support Vector Machines, Convolution Neural Networks, Neural Networks, Reinforcement Learning, Deep Learning, Supervised Learning and Unsupervised Learning.