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Key Skills – Python, Data Science, Data Analysis, AI, GIT, MLOps, Data Wrangling, SQL, Story Telling, Machine Learning, Prediction algorithms, NLP, Model, Data visualization
Key Skills – Programming, Data Science, Data Wrangling, Machine Learning, Deep Learning, Statistical Analysis, Big Data, Advanced Statistics, Hypotheses testing, Advanced Mathematics
Key Skills – Machine Learning, Deep Learning, Reinforcement Learning, NLP, Computer Vision, Advanced Robotics, Applied Autonomous Driving
Key Skills – Aritificial Intelligence using Python, Data Science with R, Machine Learning Business Analytics, Business Intelligence, TSA, SVM, Neural Networks, Graph visualization, Keras, Deep Learning with TensorFlow, Natural Language Processing, Excel, Tableau, etc.
Key Skills – Machine Learning, Deep Learning, Reinforcement Learning, NLP, Computer Vision, Advanced Robotics, Applied Autonomous Driving
Key Skills – SVM, k-means clustering, RNNs, CuPy, Keras, TensorFlow, applications of text mining, NTLK environment, syntax trees, Dialog Manager, computer vision trends, CI/CD pipeline, Spark
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Key Skills – Aritificial Intelligence using Python, Data Science with R, Machine Learning Business Analytics, Business Intelligence, TSA, SVM, Neural Networks, Graph visualization, Keras, Deep Learning with TensorFlow, Natural Language Processing, Excel, Tableau, etc.
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Key Skills – Supervised Learning, Linear Regression, Classification & Logistic Regression, Decision Tree, Random Forest, Naïve Bayes, Support Vector Machine, Unsupervised Learning, Natural Language Processing, Text Mining, Deep Learning, Time Series Analysis, etc.
Key Skills – Convolutional Neural Network (CNN), Perceptron in CNN, TensorFlow, TensorFlow-Code, Graph Visualization, Transfer Learning, Recurrent Neural Networks, Deep Learning Libraries, Keras & TFLearn API, GPU in Deep Learning, Backpropagation, Hyperparameters, etc.
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Learn emerging skills quickly with custom curriculum designed as per your needs.
Over 20+ live interactive sessions with an industry expert.
Over 20+ live interactive sessions with an industry expert.
Over 20+ live interactive sessions with an industry expert.
Over 20+ live interactive sessions with an industry expert.
The course content is good and the quizzes, assignments have good coverage related to concepts. The complexity was also good along with flexible batches and schedules for learning ease.
This training helped me easily understand the core concepts of Machine Learning and Data Science. The training provided hands-on experience and has helped me develop a strong base in the domain.
It was an amazing experience learning from Intellipaat. I really appreciate the support team’s efforts to solve my queries. Also, great instructors and comprehensive learning content.
Good course. I am extremely happy and satisfied to have enrolled at Intellipaat. Trainer’s knowledge and experience level helped me gain industry-ready knowledge for career growth.
Best platform to learn. Course structure is well designed and on request I got access to 2 more projects that made my foundational knowledge stronger. Overall I rate the course 4 on a scale of 5.
Artificial Intelligence (AI) is a wide branch of computer science that is responsible for developing systems that can mimic human actions and allows machines to perform a varied range of business tasks that otherwise requires human involvement. It uses numerous Machine Learning algorithms, Deep Learning techniques, Natural Language Processing (NLP), and other such technologies.
Machine Learning (ML), on the other hand, is a subset of Artificial Intelligence. This technology enables machines to learn through algorithms and make improvements on their own using the past data and experience without being explicitly programmed.
The free Machine Learning and Artificial Intelligence courses offered at Intellipaat for beginners are mentioned below:
Following are the best Artificial Intelligence and Machine Learning certification courses for intermediates:
To learn Artificial Intelligence and Machine Learning online, you must sign up for the advanced certification courses listed below:
The current market offers great opportunities for Machine Learning and AI professionals. As per reports, AI is predicted to reach over US$191 billion by the year 2024. According to the reports by the World Economic Forum, this technology aims to create millions of jobs across numerous industries and business sectors in the coming years. AI has taken over numerous fields and will continue to do so in the future. Moreover, as per the posts on LinkedIn, there are over 56,000 Machine Learning jobs and more than 55,000 AI jobs in the United States alone.
There are numerous job opportunities and roles available for professionals after completing our course in AI and Machine Learning. Some of the most common ones are mentioned below:
Individuals who wish to pursue a career in the field of AI and Machine Learning should start by learning the basic concepts such as Python programming language, data modeling, etc. Once that is done, they should move on to the advanced and more complex modules, such as Machine Learning techniques and algorithms, data manipulation and analysis, Big Data Hadoop, and so on. They should also gain an understanding of various Business Intelligence and Deep Learning tools and techniques to substantiate the learning experience. If you want to make a career in these domains, you can start by enrolling in our best AI and ML courses online.
According to the salaries posted on PayScale, professionals with skills in Artificial Intelligence earn an average of US$124,204 per annum in the United States, and this amount can rise to US$202,000 per annum. The average salary earned by a Machine Learning Engineer is US$112,691 per annum.
AI and ML professionals are hired by companies across multiple industries, including the ones listed below:
Top companies hiring Machine Learning and AI professionals are mentioned below:
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