154,000
92,055*
NO COST EMI : 15,343 p.m for 6 Months
*Offer valid till 30th September 2023
Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom 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.
The term "Artificial Intelligence (AI)" refers to the development of intelligent machines capable of performing tasks that typically require human intelligence. It involves creating algorithms and systems that can learn, reason, perceive, and make decisions.
Pioneers and contributors in the field of AI include Alan Turing, John McCarthy, Marvin Minsky, and Arthur Samuel. However, AI has evolved through the collaborative efforts of many researchers and scientists over time.
Transitioning into an AI career from a different field involves building a foundation in math, computer science, and programming. Acquiring knowledge of AI concepts, algorithms, and technologies is crucial. Learning programming languages commonly used in AI, such as Python or R, and mastering machine learning and deep learning techniques are essential. Creating a portfolio of AI projects to showcase practical skills and staying updated with the latest advancements in AI research are important steps.
Yes, a career as an AI engineer is considered promising and rewarding. The demand for AI professionals is growing as organizations adopt AI technologies. AI engineers have opportunities to work on cutting-edge projects, solve complex problems, and contribute to technological advancements. The field offers competitive salaries and continuous learning prospects.
A career in AI typically requires a bachelor's or master's degree in computer science, AI, data science, or a related field. Proficiency in programming languages like Python or Java, understanding of mathematics including linear algebra and calculus, and familiarity with machine learning algorithms and neural networks are essential.
The AI Engineer Course provides a comprehensive understanding of AI concepts, algorithms, and technologies. It covers topics such as machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques. The curriculum includes hands-on projects to develop practical skills in building and deploying AI models.
To delve into AI in Aizawl, a basic understanding of programming concepts, familiarity with mathematics, and a curiosity to learn and explore AI technologies are helpful. It is advisable to check DataMites' specific prerequisites or recommended knowledge for their AI courses in Aizawl.
The AI For Managers Course covers AI basics, machine learning, deep learning, natural language processing, computer vision, AI implementation challenges, ethical considerations, and AI project management. It equips managers with the knowledge to make informed decisions regarding AI adoption and implementation.
Python is widely regarded as the best programming language for AI. It offers simplicity, extensive libraries like TensorFlow and PyTorch, and has a vibrant community. Python's versatility makes it suitable for various AI tasks, including machine learning, natural language processing, and computer vision.
Specific AI job roles include AI Engineer/Developer, Data Scientist, Machine Learning Engineer, AI Research Scientist, AI Consultant, AI Project Manager, and AI Ethicist. These roles involve responsibilities such as designing and implementing AI solutions, analyzing data, conducting research, and managing AI projects while considering ethical implications.
To pursue a career as an AI engineer, follow these steps:
AI and ML are closely related fields but serve different purposes. AI focuses on creating intelligent machines that simulate human intelligence, while ML involves training machines to learn from data and make predictions. The preference between AI and ML depends on individual interests and career goals. AI offers diverse applications, while ML provides specific techniques for data analysis and pattern recognition.
Obtaining an Artificial Intelligence Certification in Aizawl holds importance as it validates one's knowledge and skills in AI. It adds credibility to their profile, enhances job prospects, and demonstrates a commitment to continuous learning and professional development in the field.
Experienced Faculty: DataMites has industry practitioners and subject matter experts as instructors who bring real-world experience to the classroom.
Practical Approach: The courses focus on practical learning through hands-on projects and case studies, enabling students to apply AI concepts in real-world scenarios.
Industry-Relevant Curriculum: The curriculum is designed based on industry requirements and covers the latest advancements in AI, ensuring students acquire skills that are in high demand.
Placement Assistance: DataMites provides placement assistance to help students connect with job opportunities in the AI field, increasing their chances of securing rewarding careers.
DataMites offers various certifications in Artificial Intelligence, including AI Engineer Certification, Certified NLP Expert Certification, AI Expert Certification, AI Foundation Certification, and AI for Managers Certification.
Eligibility criteria for enrolling in an Artificial Intelligence Certification Training in Aizawl may vary depending on the specific program. Generally, individuals with a background in computer science, engineering, mathematics, or related fields are eligible.
Learning Artificial Intelligence in Aizawl is significant due to the increasing demand for AI professionals across industries. It equips individuals with valuable skills that are highly sought after in the job market, opens up diverse career opportunities, and enables them to contribute to technological advancements using AI.
The duration of the Artificial Intelligence course provided by DataMites in Aizawl varies depending on the specific course selected. The duration can range from one month to one year, offering flexibility to accommodate different schedules and preferences. DataMites provides training sessions on both weekdays and weekends, allowing participants to choose a schedule that suits their availability and learning needs.
Individuals can gain knowledge in the field of Artificial Intelligence through various means, such as self-study using online resources, textbooks, research papers, and tutorials. They can also enroll in AI courses and training programs, pursue degree or diploma programs in AI or related fields, attend workshops and conferences, and engage in practical projects and competitions to gain hands-on experience.
The purpose of the AI Engineer Course in Aizawl offered by DataMites is to equip individuals with the skills and knowledge required to become proficient AI engineers. The course covers various aspects of AI, including machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques. It prepares participants to build AI models and deploy them in real-world scenarios.
The Certified NLP Expert course in Aizawl focuses on Natural Language Processing (NLP), a subfield of AI. The course covers fundamental concepts of NLP, text preprocessing, sentiment analysis, named entity recognition, topic modeling, language generation, and neural network-based NLP models. It trains individuals in NLP techniques and applications to solve real-world problems.
Upon completing the Artificial Intelligence training at DataMites in Aizawl, participants have the opportunity to earn certifications from prestigious organizations such as IABAC (International Association of Business Analytics Certifications), JAINx, and NASSCOM FutureSkills Prime. These certifications hold significant value in the industry and serve as a validation of one's skills and knowledge in Artificial Intelligence.
The AI Foundation Course in Aizawl at DataMites provides a comprehensive introduction to AI. It covers the basics of AI, machine learning, and deep learning. The course content includes an overview of AI, supervised and unsupervised learning, neural networks, deep learning algorithms, model evaluation, and deployment techniques. It lays a strong foundation in AI concepts and techniques.
The Artificial Intelligence for Managers Course in Aizawl offered by DataMites covers topics such as AI basics, machine learning, deep learning, natural language processing, computer vision, AI implementation challenges, ethical considerations, and AI project management. It provides managers with the necessary knowledge to make informed decisions regarding AI adoption, implementation, and leveraging AI technologies for business growth.
The Flexi-Pass feature available at DataMites allows participants to attend training sessions at their convenience. It provides flexibility in scheduling by allowing participants to choose from multiple batch options. This feature ensures that individuals can balance their learning with other commitments and attend classes as per their availability and preference.
The fee for the Artificial Intelligence Training program at DataMites in Aizawl may vary based on factors such as the specific course chosen and the duration of the program. Generally, the fee for the Artificial Intelligence course in Aizawl ranges from INR 60,795 to INR 154,000.
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.
