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. It involves creating algorithms and systems capable of learning, reasoning, perceiving, and making decisions.
There isn't a single individual credited with inventing AI. 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 several advantages, including increased efficiency and productivity, improved accuracy and precision in tasks, enhanced decision-making capabilities, automation of repetitive tasks, better customer experiences, and the potential for innovation and new business opportunities.
The AI Engineer and AI Expert Courses differ in their level of depth and specialization. The AI Engineer Course focuses on building a strong 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.
Some examples of AI applications include virtual assistants like Siri and Alexa, autonomous vehicles, recommendation systems, fraud detection systems, chatbots, image and speech recognition systems, medical diagnosis, and predictive analytics.
Artificial Intelligence is applied in various areas, including healthcare (diagnosis, drug discovery), finance (fraud detection, risk assessment), transportation (autonomous vehicles, route optimization), customer service (chatbots, virtual assistants), manufacturing (automation, quality control), and many more.
After completing Artificial Intelligence Training in Allahabad, career opportunities may include AI engineer, data scientist, machine learning engineer, AI research scientist, AI consultant, AI project manager, and AI ethicist roles in industries such as healthcare, finance, e-commerce, and technology.
Commonly used technologies in Artificial Intelligence include machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, natural language processing tools, computer vision libraries, and AI development platforms.
Several companies are prominent in hiring for artificial intelligence jon roles, including tech giants like Google, Microsoft, Amazon, and IBM. Additionally, companies in industries such as healthcare, finance, automotive, and retail are increasingly investing in AI and hiring professionals in this field.
To start a career in artificial intelligence without prior experience, one can begin by acquiring a strong foundation in mathematics, computer science, and programming. They can take online courses or pursue a degree in AI-related fields, work on personal AI projects, participate in Kaggle competitions, and seek internships or entry-level positions to gain practical experience.
To acquire knowledge in Artificial Intelligence in Allahabad, having a background in computer science, mathematics, or a related field is beneficial. Familiarity with programming languages like Python and knowledge of statistics and linear algebra are also useful prerequisites. However, some AI courses may have their own specific prerequisites, so it's advisable to check with the training provider for detailed requirements.
DataMites provides a range of Artificial Intelligence certifications, including AI Engineer Certification, Certified NLP Expert Certification, AI Expert Certification, AI Foundation Certification, and AI for Managers Certification.
Individuals can acquire knowledge in Artificial Intelligence through various methods, including self-study using online resources, textbooks, and tutorials. They can also enroll in AI courses and training programs, pursue degrees or diplomas in AI or related fields, attend workshops and conferences, and engage in practical projects and competitions.
DataMites' AI Engineer Course in Allahabad aims to equip individuals with the skills and knowledge needed to become proficient AI engineers. It covers essential AI concepts, algorithms, and practical implementation techniques, preparing participants to build and deploy AI models in real-world scenarios.
Obtaining an Artificial Intelligence Certification in Allahabad is important as it validates individuals' AI knowledge and skills. It enhances professional credibility, improves job prospects, and demonstrates a commitment to continuous learning and growth in the field.
The duration of DataMites' Artificial Intelligence course in Allahabad varies depending on the chosen course. It offers flexibility with course durations ranging from one month to one year, accommodating different schedules. Weekday and weekend training sessions are available.
To pursue a career as an AI engineer in Allahabad, individuals can follow these steps: develop a strong foundation in mathematics, computer science, and programming; acquire knowledge of AI concepts, algorithms, and technologies; learn programming languages like Python or R commonly used in AI; master machine learning and deep learning techniques; build a portfolio of AI projects; stay updated with the latest advancements and research in AI; and seek job opportunities in Allahabad or explore remote work options in the AI field.
DataMites' Placement Assistance Team provides support to students in connecting with job opportunities in the AI field. They assist with resume building, interview preparation, and job placement guidance, enabling students to leverage their AI skills and secure suitable positions.
Yes, participants can access help sessions offered by DataMites to enhance their understanding of the training topics. These sessions provide additional clarification, guidance, and support to ensure comprehensive grasp of the concepts covered in the training.
Yes, upon successful completion of an Artificial Intelligence course from DataMites, participants receive a Course Completion Certificate. This certificate validates their completion of the training program and adds value to their professional credentials.
DataMites engages experienced trainers who are industry professionals and subject matter experts in Artificial Intelligence. These trainers bring practical knowledge and expertise to deliver high-quality instruction to participants.
DataMites accepts various payment methods for their Artificial Intelligence courses, including online payments through credit cards, debit cards, net banking, and digital wallets. They provide convenient options to accommodate different preferences.
DataMites' Flexi-Pass feature in Allahabad provides participants with flexibility in attending training sessions. It offers multiple batch options, allowing individuals to choose schedules that align with their availability and preferences.
The policy for missed sessions during the Artificial Intelligence training at DataMites in Allahabad may vary depending on the specific course and batch. Participants are recommended to refer to DataMites' guidelines or contact their support team for information on the missed session policy.
DataMites stands out as a preferred choice for Artificial Intelligence courses in Allahabad due to various factors, including experienced trainers who are industry professionals, comprehensive course curriculum covering different AI aspects, hands-on learning approach with practical projects, flexibility in batch options and schedules, placement assistance for job opportunities, positive reputation and reviews from past participants, and certification options to validate knowledge and enhance professional credentials.
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 Allahabad.
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.