Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll explore challenging theory and practice with applications in computer vision, natural language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on experience to apply deep learning in your own projects.
Instructor Led Live Online
Self Learning + Live Mentoring
Customize Your Training
The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
Artificial Intelligence(AI) entered the mainstream and revolutionized the way we do the business. It won't surprise you to know that more than 50% of current roles humans perform will be replaced by AI in the next 3 to 5 years. There is already a big demand for AI specialists and this demand will be exponentially growing in the coming years.
Deep Learning with Python courses will get you ready for an AI career. Deep Learning is also one of the highly coveted skills in the tech industry. This course covers popular Deep Learning algorithms: Convolutional Networks, BatchNorm, RNNS, etc., with the case studies from autonomous driving, healthcare, Natural language processing, etc., With this course, you will not only master the concept behind deep learning but also see the application of the real world.
Artificial Intelligence is revolutionizing the way business and gaining Deep Learning skills will make you a scare, highly in demand resource, and has the potential to supercharge your career growth. In simple words, this course will help you build a career in the most coveted domain, AI.
This course is an advanced course, professionals with essential knowledge in Machine Learning and aspiring to be AI specialists can opt.
This course covers most of the popular deep learning algorithms along with the application on a case study. This course will help you build an AI career in an effective manner.
At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in the coming years.
DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is to enable data science professionals with strong data science skills aligned market requirements and be a part of this phenomenal Data Science era.
DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options
This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.
All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.
The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.
No, the exam fees are already included in the course fee and you will not be charged extra.
Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements
DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.
You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis
DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
The course covers Machine Learning, Deep Learning, AI, Big Data, AWS, Python/R, Statistics, Business aspects & Tableau.
Course covers Python Programming, Data Science Packages Numpy, Pandas, sklearn, scipy, matplotlib
Course covers Essential Statistics For Data Science, Hypothesis Testing and Exploratory Analysis
Course covers AI Programming, Data Science packages Numpy, Pandas, sklearn, scipy, matplotlib
Course covers Data Science overview, Basics of Statistics, Machine Learning, Use cases
Course covers Neural Networks with Tensorflow, Tensor Board, Deep Leaning concepts