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.
MODULE 1 : DATA SCIENCE COURSE INTRODUCTION
MODULE 2 : DATA SCIENCE ESSENTIALS
MODULE3 : DATA SCIENCE DEMO
MODULE 4 : ANALYTICS CLASSIFICATION
MODULE 5 : DATA SCIENCE AND RELATED FIELDS
MODULE 6 : DATA SCIENCE ROLES & WORKFLOW
MODULE 7 : MACHINE LEARNING INTRODUCTION
MODULE 8 : DATA SCIENCE INDUSTRY APPLICATIONS
MODULE 1 : PYTHON BASICS
MODULE 2 : PYTHON CONTROL STATEMENTS
MODULE 3 : PYTHON DATA STRUCTURES
MODULE 4 : PYTHON FUNCTIONS
MODULE 5 : PYTHON NUMPY PACKAGE
MODULE 6 : PYTHON PANDAS PACKAGE
MODULE 1 : OVERVIEW OF STATISTICS
MODULE 2 : HARNESSING DATA
MODULE 3 : EXPLORATORY DATA ANALYSIS
MODULE 4 : HYPOTHESIS TESTING
MODULE 5 : CORRELATION AND REGRESSION
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: PYTHON NUMPY & PANDAS PACKAGE
MODULE 3: VISUALIZATION WITH PYTHON
MODULE 4: ML ALGO: LINEAR REGRESSSION
MODULE 5: ML ALGO: KNN
MODULE 6: ML ALGO: LOGISTIC REGRESSION
MODULE 7: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 8: ML ALGO: K MEANS CLUSTERING
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: ML ALGO: LINEAR REGRESSION
MODULE 3: ML ALGO: LOGISTIC REGRESSION
MODULE 4: ML ALGO: KNN
MODULE 5: ML ALGO: K MEANS CLUSTERING
MODULE 6: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 7: ML ALGO: DECISION TREE
MODULE 8 : ML ALGO: NAÏVE BAYES
MODULE 9: GRADIENT BOOSTING, XGBOOST
MODULE 10: ML ALGO: SUPPORT VECTOR MACHINE (SVM)
MODULE 11: ARTIFICIAL NEURAL NETWORK (ANN)
MODULE 12: ADVANCED ML CONCEPTS
MODULE 1: TIME SERIES FORECASTING - ARIMA
MODULE 2: FEATURE ENGINEERING
MODULE 3: SENTIMENT ANALYSIS
MODULE 4: REGULAR EXPRESSIONS WITH PYTHON
MODULE 5: ML MODEL DEPLOYMENT WITH FLASK
MODULE 6: ADVANCED DATA ANALYSIS WITH MS EXCEL
MODULE 7: AWS CLOUD FOR DATA SCIENCE
MODULE 8: AZURE FOR DATA SCIENCE
MODULE 1: DATABASE INTRODUCTION
MODULE 2: SQL BASICS
MODULE 3: DATA TYPES AND CONSTRAINTS
MODULE 4: DATABASES AND TABLES (MySQL)
MODULE 5: SQL JOINS
MODULE 6: SQL COMMANDS AND CLAUSES
MODULE 7: DOCUMENT DB/NO-SQL DB
MODULE 1: GIT INTRODUCTION
MODULE 2: GIT REPOSITORY and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
MODULE 4: TAGGING, BRANCHING AND MERGING
MODULE 5: UNDOING CHANGES
MODULE 6: GIT WITH GITHUB AND BITBUCKET
MODULE 1: BIG DATA INTRODUCTION
MODULE 2: HDFS AND MAP REDUCE
MODULE 3: PYSPARK FOUNDATION
MODULE 4: SPARK SQL and HADOOP HIVE
MODULE 5: MACHINE LEARNING WITH SPARK ML
MODULE 6: KAFKA and Spark
MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
MODULE 2: BI WITH TABLEAU: INTRODUCTION
MODULE 3 : TABLEAU: CONNECTING TO DATA SOURCE
MODULE 4 : TABLEAU : BUSINESS INSIGHTS
MODULE 5 : DASHBOARDS, STORIES AND PAGES
MODULE 6 : BI WITH POWER-BI
MODULE 1: ARTIFICIAL INTELLIGENCE OVERVIEW
MODULE 2: DEEP LEARNING INTRODUCTION
MODULE 3: TENSORFLOW FOUNDATION
MODULE 4: COMPUTER VISION INTRODUCTION
MODULE 5: NATURAL LANGUAGE PROCESSING (NLP)
MODULE 6: AI ETHICAL ISSUES AND CONCERNS
MODULE 1: NEURAL NETWORKS
MODULE 2: IMPLEMENTING DEEP NEURAL NETWORKS
MODULE 3: DEEP COMPUTER VISION - CNN
MODULE 4 : RECURRENT NEURAL NETWORK
MODULE 5: NATURAL LANGUAGE PROCESSING (NLP)
MODULE 6: REINFORCEMENT LEARNING
MODULE 7: DEEP REINFORCEMENT LEARNING
MODULE 8: GENERATIVE ADVERSARIAL NETWORK (GAN)
MODULE 9: DEPLOYING DL MODELS IN THE CLOUD (AWS)
Artificial Intelligence (AI) refers to the development of intelligent machines that can perform tasks requiring human intelligence. It involves creating algorithms and systems that can learn, reason, perceive, and make decisions.
Individuals can embark on a career as an AI engineer by acquiring a strong foundation in mathematics, computer science, and programming. They can then further enhance their knowledge and skills by studying AI concepts, algorithms, and technologies. Practical experience through internships or personal projects can also greatly contribute to their career development.
The choice between AI and ML depends on the individual's inclination and career aspirations. AI encompasses various aspects of creating intelligent machines, including ML as a crucial component. If you are interested in developing advanced systems that exhibit human-like intelligence, AI provides a broader canvas. However, if your passion lies in building algorithms and models that learn from data, ML offers a more focused path. It is essential to explore both fields to make an informed decision based on your interests and long-term goals.
The career prospects for AI engineers are highly promising. With the increasing adoption of AI technologies across industries, there is a growing demand for skilled professionals who can develop intelligent systems. AI engineers have opportunities to work on cutting-edge projects, solve complex problems, and contribute to technological advancements, making it an exciting and rewarding career path.
One can kickstart a career in artificial intelligence without prior experience by participating in AI-related competitions and projects. Joining open-source projects or contributing to AI communities allows individuals to collaborate with experienced professionals, learn from their expertise, and showcase their skills to potential employers.
Artificial intelligence (AI) is a broader concept that encompasses the development of intelligent machines capable of simulating human intelligence. It involves creating algorithms and systems that can learn, reason, perceive, and make decisions. On the other hand, machine learning (ML) is a subset of AI that focuses on enabling machines to learn from data and make predictions or decisions without being explicitly programmed.
To pursue a career in artificial intelligence, it is advantageous to have a solid educational foundation in computer science, AI, data science, or a related field. Employers often value candidates with a bachelor's or master's degree in these disciplines. Additionally, possessing a strong understanding of programming languages, mathematics, and machine learning concepts can greatly enhance one's prospects in the field.
To acquire knowledge in Artificial Intelligence in Rourkela, there are specific prerequisites that individuals need to fulfill.
Mastering Artificial Intelligence poses challenges as it involves staying updated with evolving technologies, experimenting with large datasets, and solving complex real-world problems.
The implementation of AI contributes to organizational growth and development by enhancing efficiency, improving decision-making, personalizing customer experiences, increasing productivity, realizing cost savings, driving business innovation, enabling scalability and adaptability, and enhancing risk management. These benefits result in streamlined operations, improved customer satisfaction, optimized resource allocation, increased competitiveness, and the ability to capitalize on emerging opportunities, ultimately fostering growth and development for organizations.
To prepare for AI job interviews and technical assessments, one can:
Through DataMites' AI Engineer Course, participants can expect to gain a comprehensive understanding of AI concepts, algorithms, and technologies. They will learn various machine learning and deep learning techniques, along with natural language processing and computer vision. Participants will acquire practical skills in building and deploying AI models, as well as optimizing and evaluating their performance. By completing the course, they will be equipped to pursue AI engineering roles and contribute to real-world AI applications.
The AI Expert Course delves deeper into advanced AI topics and techniques. It covers advanced machine learning algorithms, deep learning architectures, natural language processing, computer vision, and AI model optimization. The course is designed for individuals who want to specialize and become experts in the field of AI.
Obtaining an Artificial Intelligence Certification in Rourkela is important as it validates your knowledge and skills in the field of AI. It enhances your credibility and marketability, demonstrating your competence to potential employers or clients. Certification serves as proof of your expertise and commitment to professional development in the rapidly evolving field of Artificial Intelligence.
DataMites is preferred as a choice for Artificial Intelligence Courses in Rourkela due to several reasons, including their experienced trainers who are industry professionals, comprehensive course curriculum covering various AI topics, practical hands-on learning approach, flexibility in scheduling, placement assistance,and the option to obtain certifications upon completion of the training. They prioritize the quality of education, provide access to industry-relevant projects, and offer comprehensive support to students throughout their learning journey.
DataMites offers various certifications in the field of Artificial Intelligence, including AI Engineer Certification, Certified NLP Expert Certification, AI Expert Certification, AI Foundation Certification, and AI for Managers Certification.
The duration of DataMites' Artificial Intelligence course in Rourkela may vary depending on the specific course selected. The duration can range from one month to one year, offering flexibility to accommodate different schedules and learning preferences.
Individuals can acquire knowledge in the field of Artificial Intelligence through various means, including self-study using online resources, textbooks, research papers, and tutorials. They can also enroll in AI courses and training programs, pursue academic degrees or certifications in AI or related fields, attend workshops and seminars, and engage in practical projects to gain hands-on experience.
The AI Engineer Course offered by DataMites in Rourkela aims to provide individuals with comprehensive knowledge and skills to become proficient AI engineers. The course covers essential AI concepts, machine learning algorithms, deep learning techniques, natural language processing, computer vision, and AI model deployment. Participants will gain practical experience by working on real-world projects.
To pursue a career as an AI engineer in Rourkela, individuals should acquire a strong foundation in mathematics, computer science, and programming. They can enroll in AI-related courses or training programs to learn AI concepts, algorithms, and technologies. Gaining hands-on experience through projects and internships, participating in competitions, and continuously updating knowledge in the field will also be beneficial.
DataMites accepts various payment methods for its courses in Artificial Intelligence, including online payment options such as credit/debit cards, net banking, and digital wallets. They may also provide options for bank transfers or offline payments at their training centers.
DataMites' Placement Assistance Team provides support to students in various aspects of job placement. They assist in resume preparation, conduct mock interviews, provide guidance on interview techniques, and connect students with potential job opportunities in the field of Artificial Intelligence.
Yes, participants can avail help sessions offered by DataMites to enhance their understanding of the training topics. These sessions provide additional guidance, clarify doubts, and offer further explanations to ensure a comprehensive grasp of the course content.
The fee structure for the Artificial Intelligence Training program in Rourkela at DataMites is designed to be flexible, with prices ranging from INR 60,795 to INR 154,000, accommodating different budgets and program choices.
The trainers providing instruction at DataMites are experienced industry professionals with expertise in the field of Artificial Intelligence. They bring practical knowledge and real-world insights to the training sessions, ensuring a high-quality learning experience for participants.
Yes, upon successfully completing a course with DataMites, participants can obtain a Course Completion Certificate. This certificate confirms their successful completion of the training program and can be a valuable addition to their professional credentials.
DataMites' Flexi-Pass feature in Rourkela allows participants to attend training sessions at their convenience. It provides flexibility in scheduling by offering multiple batch options and allows participants to choose the schedule that suits their availability and learning needs. This feature ensures a customized learning experience and accommodates individuals with varying commitments and preferences.
The specific documents required for the training session at DataMites may vary based on the course and program. Typically, participants are advised to carry a valid ID proof (such as a government-issued ID card) and any specific documents mentioned in the communication received from DataMites.
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.