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)
The term "Artificial Intelligence (AI)" refers to the development of intelligent machines that can perform tasks requiring human intelligence, such as learning, reasoning, perceiving, and decision-making.
The AI Engineer Course focuses on building a solid foundation in AI concepts, algorithms, and technologies, with an emphasis on practical implementation. The AI Expert Course delves deeper into advanced AI algorithms, emerging trends, and complex applications, providing specialized knowledge and skills.
The field of AI has evolved through the contributions of many researchers and scientists over time, including Alan Turing, John McCarthy, Marvin Minsky, and Arthur Samuel.
Implementing AI offers advantages such as increased efficiency, improved accuracy, enhanced decision-making, automation of tasks, better customer experiences, and potential business innovation.
Examples of AI applications include virtual assistants, autonomous vehicles, recommendation systems, fraud detection, chatbots, image and speech recognition, medical diagnosis, and predictive analytics.
After completing AI training in Kota, career opportunities may include AI engineer, data scientist, machine learning engineer, AI research scientist, AI consultant, AI project manager, and AI ethicist roles in various industries.
Commonly used technologies in AI include machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, natural language processing tools, computer vision libraries, and AI development platforms.
AI is applied in areas such as healthcare, finance, transportation, customer service, manufacturing, and more, for tasks like diagnosis, fraud detection, autonomous vehicles, chatbots, and automation.
Prominent companies hiring for AI roles include Google, Microsoft, Amazon, IBM, and companies in healthcare, finance, automotive, and retail sectors.
Having a background in computer science, mathematics, or related fields is beneficial. Familiarity with programming languages like Python and knowledge of statistics and linear algebra are also useful prerequisites.
To start a career in AI without prior experience, one can build a strong foundation in mathematics, computer science, and programming, take AI-related courses, work on personal projects, participate in competitions, and seek internships or entry-level positions.
DataMites is recognized as the preferred choice for Artificial Intelligence courses in Kota due to several reasons. These include having experienced trainers who are industry professionals, offering a comprehensive course curriculum covering various aspects of AI, emphasizing hands-on learning with practical projects, providing flexibility in batch options and schedules, offering placement assistance to connect participants with job opportunities, having a positive reputation and reviews from past participants, and providing certification options to validate knowledge and enhance professional credentials.
DataMites offers a range of certifications in 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 Kota varies depending on the specific course chosen, ranging from one month to one year. The training sessions are available on weekdays and weekends to accommodate different schedules.
Individuals can acquire knowledge in Artificial Intelligence through various methods, such as self-study using online resources, textbooks, and tutorials, enrolling in AI courses and training programs, pursuing a degree or diploma in AI or related fields, attending workshops and conferences, and engaging in practical projects and competitions.
The AI Engineer Course offered by DataMites in Kota aims to equip individuals with the necessary skills and knowledge to become proficient AI engineers. The course covers essential AI concepts, algorithms, and practical implementation techniques, enabling participants to build and deploy AI models in real-world scenarios.
Obtaining an Artificial Intelligence Certification in Kota is crucial as it validates individuals' AI knowledge and skills, enhancing their professional credibility and job prospects. It also demonstrates their commitment to continuous learning and growth in the field of AI.
To pursue a career as an AI engineer in Kota, individuals can take the following steps: develop a strong foundation in mathematics, computer science, and programming; acquire knowledge of AI concepts, algorithms, and technologies; learn programming languages commonly used in AI, such as Python or R; master machine learning and deep learning techniques; build a portfolio of AI projects to showcase practical skills; stay updated with the latest advancements and research in AI; and seek job opportunities in Kota or explore remote work options in the AI field.
DataMites accepts various payment methods for their courses in Artificial Intelligence, including online payment through credit cards, debit cards, net banking, and digital wallets.
DataMites' Placement Assistance Team provides support to students in connecting with job opportunities in the AI field. They offer assistance with resume building, interview preparation, and job placement guidance to help students leverage their AI skills and secure suitable positions.
Yes, participants can access help sessions provided by DataMites to enhance their understanding of the training topics. These sessions aim to provide additional clarification, guidance, and support to ensure comprehensive comprehension of the concepts covered.
Yes, upon successful completion of an Artificial Intelligence course from DataMites, participants receive a Course Completion Certificate. This certificate serves as evidence of completion and adds value to their professional credentials.
DataMites engages experienced trainers who are industry professionals and subject matter experts in the field of Artificial Intelligence. These trainers possess practical knowledge and expertise to deliver high-quality instruction.
DataMites' Flexi-Pass feature in Kota offers participants the flexibility to attend training sessions according to their convenience. It provides multiple batch options, enabling individuals to choose schedules that align with their availability and preferences.
Specific document requirements for the training session at DataMites may vary based on the program and location. It is advisable to contact DataMites directly for detailed information regarding any specific documents needed for the training session in Kota.
The policy for missed sessions during the Artificial Intelligence training at DataMites in Kota may vary depending on the specific course and batch. Participants are recommended to refer to DataMites' guidelines or contact their support team for information regarding the missed session policy.
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.