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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.
The Artificial Engineer course offers the knowledge and skills that are required to become a successful AI Engineer. Precisely, the course talks about the ways to find a solution to complex problems, by employing deep learning, machine learning, computer vision, and NLP methods.
The Artificial Intelligence Engineer course helps to get a better understanding of Statistics for Data Science, Machine Learning, Deep Learning, Programming Such as Python and Tensor Flow.
Some of the prerequisites for pursuing the Artificial Engineer course are:-
Artificial Intelligence has gained importance across sectors and is instrumental in bringing change. Medical, Banking and Finance, Manufacturing, Retail, Hospitality, every sector of the economy uses AI. This can be attributed to the problem-solving capability in AI. Pursuing the Artificial Intelligence for Engineers course
DataMites is an authorized institute by the International Association of Business Analytics Certifications (IABAC™) providing global data science certification courses
Artificial intelligence (AI) refers to the use of computers and technology to mimic human intelligence and perform tasks that typically require human cognitive abilities, such as problem-solving and decision-making.
The term "artificial intelligence" was first introduced by John McCarthy, a renowned computer science professor at Stanford University.
Learning Artificial Intelligence offers numerous benefits as it is a rapidly growing field with vast potential. AI technologies like intelligent voice assistants, self-driving cars, and robotic process automation have gained significant prominence. The demand for AI professionals is high, and it opens doors to lucrative career opportunities.
Upon completing Artificial Intelligence Training, individuals can explore various job roles, including:
To excel in learning Artificial Intelligence, it is beneficial to have skills in computer programming, statistics, data modeling, data validation, and design. Non-technical skills such as critical thinking, curiosity, and a strong interest in math and science are also important.
A wide range of AI software development tools and platforms are accessible in the market, offering various capabilities for creating and implementing AI applications. Notable examples include Microsoft Azure AI Platform, Google Cloud AI Platform, IBM Watson, Infosys Nia, Dialog Flow, and BigML. These technologies furnish developers with frameworks and services that facilitate the development, deployment, and management of AI-powered solutions. By leveraging these advanced tools, developers can harness the potential of artificial intelligence to create innovative applications across diverse domains.
An AI Engineer is a professional who specializes in designing, developing, and implementing artificial intelligence systems and technologies to solve complex problems and create intelligent solutions.
The job responsibilities of an AI Engineer include designing and implementing AI models using deep learning neural networks and machine learning algorithms, collaborating with various stakeholders, conducting statistical analysis, automating processes, and translating machine learning models into usable APIs.
The key skills for AI Engineers include proficiency in mathematics, programming, analytics, business intelligence, communication, collaboration, and critical thinking.
According to Glassdoor.com:
The Artificial Intelligence Engineer Certification is important because it validates and demonstrates your expertise and skills in the field of artificial intelligence. It serves as a recognized credential that employers can trust, indicating that you have the necessary knowledge and proficiency to work on AI projects and contribute effectively to the industry. Having an AI Engineer Certification can enhance your career prospects, open up job opportunities, and increase your earning potential. It also showcases your commitment to continuous learning and professional development in the dynamic field of artificial intelligence.
The trainers for the Artificial Intelligence Engineer course have experienced Data Scientists, AI and Machine Learning experts who possess good knowledge of the subject matter.
No. Coding is not required to learn Artificial Intelligence Engineer courses.
You can enrol for the Artificial Intelligence Engineer Course by visiting our website, and doing the payment through Debit/Credit card, Visa. The receipt for the payment done will be sent to your registered E-mail id.
Yes. You will be given a certificate after the completion of the Artificial Intelligence Engineer course.
You will receive certification from IABAC® - International Association of Business Analytics Certification.
This course is perfectly aligned to the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored and improved by industry practitioners on a continual basis.
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 constraints, 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 an individual basis in assisting for the right Data Science job.
You get a 100% refund training fee if 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 the latest information on Data Science as well as job updates.
To learn Artificial Intelligence effectively, it is advisable to enroll in DataMites' Artificial Intelligence Course, which provides comprehensive training to prepare you for future employment in the field.
DataMites offers the following Artificial Intelligence Certifications:
Prerequisites for an Artificial Intelligence Engineering course include basic knowledge of statistical tools and methodologies, programming skills in languages like Python, and a curious mindset.
The Artificial Intelligence Engineer course has a duration of 11 months, with training sessions available on weekdays and weekends.
The Artificial Intelligence Engineer program is suitable for graduates, newcomers interested in pursuing a career in AI, professionals in analytics looking to transition into AI roles, and team leaders or senior analysts seeking to enhance their skills.
By enrolling in online Artificial Intelligence Engineer training from DataMites, you can benefit from their accreditation by the International Association of Business Analytics Certification (IABAC), access to real-world projects and case studies, an IABAC certification upon completion, and the opportunity for an internship with Rubix, a global technology company.
The fee for the online Artificial Intelligence Engineer Training is as follows:
DataMites provides classroom training in Bangalore. However, arrangements for classroom training in other locations can be made on-demand, depending on the availability of other candidates from the same location.
Trainers at DataMites are certified and highly qualified professionals with extensive experience in the industry and expertise in the subject matter.
The Flexi-Pass offered by DataMites for the Artificial Intelligence Engineer training allows participants to attend sessions related to any queries or revision they may require for a duration of 3 months.
Upon completion of the training, participants will receive an IABAC certification, which is globally recognized for relevant skills.
Yes, after completing the course, DataMites will issue a Course Completion Certificate.
In case you miss a session, you can contact your instructors to schedule a makeup class. For online training, all sessions are recorded and uploaded for participants to catch up at their own pace.
Yes, DataMites provides a free demo class to give participants a brief idea of the training methodology and what to expect from the course.
Yes, DataMites has a dedicated Placement Assistance Team (PAT) that provides placement facilities to participants upon completion of the course.
The DataMites Placement Assistance Team (PAT) offers services such as job connections, resume creation, mock interviews with industry professionals, and interview question discussions to help participants kickstart their careers in Artificial Intelligence.
The career mentoring sessions conducted by the Placement Assistance Team (PAT) aim to guide participants in understanding the various career options available in Artificial Intelligence, the challenges they may face as newcomers, and strategies to overcome them. Industry experts provide insights and help participants explore their career paths.
Yes, participants are encouraged to make the most of their training sessions and can request additional support sessions for further clarification.
DataMites accepts payments through various methods, including cash, net banking, checks, debit cards, credit cards, PayPal, Visa, Mastercard, and American Express.
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.
