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 capable of performing tasks that typically require human intelligence. It involves creating algorithms and systems that can learn, reason, perceive, and make decisions.
Artificial Intelligence finds widespread application in various domains such as healthcare, finance, transportation, customer service, manufacturing, and more. It has diverse applications and is revolutionizing industries across different sectors.
To acquire knowledge in Artificial Intelligence in Siliguri, it is beneficial to have a basic understanding of programming concepts, familiarity with mathematics (especially linear algebra and statistics), and a curious mindset to explore AI technologies. However, specific prerequisites may vary based on the training program or course.
A strong educational background in computer science, AI, data science, or a related field is typically required to pursue a career in Artificial Intelligence. Employers often prefer candidates with a bachelor's or master's degree in these disciplines. Additionally, having knowledge of programming languages, mathematics, and machine learning concepts is advantageous.
Everyday instances where Artificial Intelligence is applied include virtual assistants like Siri and Alexa, personalized recommendations on streaming platforms, fraud detection systems in banking, voice recognition systems, and self-driving cars.
The future prospects of AI in the job market are highly promising. The demand for AI professionals is rapidly growing as organizations recognize the potential of AI technologies. Job roles related to AI are expected to experience significant growth, offering numerous opportunities for individuals with AI skills and expertise.
Artificial Intelligence is a broader concept encompassing the development of intelligent machines simulating human intelligence. It encompasses various techniques, including Machine Learning, which focuses on enabling machines to learn from data and make decisions without explicit programming.
Individuals can transition into an Artificial Intelligence career from a different field by gaining a solid understanding of AI concepts, algorithms, and technologies through online courses or self-study. Learning programming languages commonly used in AI, building a portfolio of AI projects, seeking internships or freelance opportunities, networking with AI professionals, and staying updated on industry trends are key steps for a successful transition.
To start a career in AI, individuals can begin by building a strong foundation in mathematics, computer science, and programming. They should gain knowledge and understanding of AI concepts, algorithms, and technologies through online courses, academic programs, or self-study. Learning programming languages commonly used in AI, mastering machine learning and deep learning techniques, building a portfolio of AI projects, staying updated with the latest advancements, and seeking internships or entry-level positions are essential steps in initiating an AI career.
Job roles within the AI field 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, managing AI projects, and considering ethical implications.
Undoubtedly, pursuing a career in Artificial Intelligence holds significant promise. The job market for AI professionals is witnessing rapid growth as organizations increasingly embrace AI technologies. AI experts have the chance to engage in groundbreaking projects, tackle intricate challenges, and actively contribute to technological advancements. Moreover, the field offers competitive remuneration, ample opportunities for continuous learning and growth, and a diverse array of career trajectories to explore.
Individuals can gain knowledge in Artificial Intelligence through self-study using online resources, textbooks, and tutorials. They can also enroll in AI courses and training programs, pursue a degree or diploma in AI or related fields, attend workshops and conferences, and engage in practical projects and competitions.
DataMites is the preferred choice for online Artificial Intelligence training in Siliguri due to its experienced trainers who are industry professionals, comprehensive course curriculum covering various AI topics, hands-on learning with practical projects, flexible batch options and schedules, placement assistance, and the opportunity to obtain certifications upon completion.
DataMites offers a variety 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 Siliguri varies depending on the specific course chosen. The course duration can range from one month to one year, with options for both weekday and weekend training sessions to accommodate different schedules.
DataMites' AI Foundation Course in Siliguri covers a comprehensive introduction to AI, including the basics of AI, machine learning, and deep learning. The course covers supervised and unsupervised learning, neural networks, deep learning algorithms, model evaluation, and deployment techniques.
DataMites' Artificial Intelligence for Managers Course in Siliguri covers various topics including AI basics, machine learning, deep learning, natural language processing, computer vision, AI implementation challenges, ethical considerations, and AI project management. The course equips managers with the necessary knowledge to make informed decisions about AI adoption and implementation.
Yes, DataMites offers both online and classroom training options for Artificial Intelligence in Siliguri, providing participants with the flexibility to choose their preferred mode of training.
The fee structure for DataMites' Artificial Intelligence Training program in Siliguri varies depending on the specific course and duration. Generally, the artificial intelligence course fee in Siliguri can range from INR 60,795 to INR 154,000, allowing individuals to select a program that fits their budget and learning goals.
DataMites' Flexi-Pass feature in Siliguri allows participants to attend training sessions at their convenience. It offers multiple batch options and flexible scheduling, ensuring individuals can balance their learning with other commitments.
DataMites provides certification options from prestigious organizations such as IABAC (International Association of Business Analytics Certifications), JAINx, and NASSCOM FutureSkills Prime. These certifications are highly recognized in the industry and can greatly enhance your professional reputation and career prospects in the field of Artificial Intelligence. Upon successfully completing the Artificial Intelligence training at DataMites, you have the chance to acquire these esteemed certifications, validating your expertise in AI.
Yes, upon completion of a training program with DataMites in Siliguri, participants can obtain a Course Completion Certificate, acknowledging their successful completion of the program.
Yes, DataMites may offer the option to attend a demo class before enrolling in the Artificial Intelligence course in Siliguri, allowing individuals to experience the training approach and content before making a decision.
The average salary for an Artificial Intelligence Engineer in Siliguri varies depending on factors such as experience, skills, and the organization. Salaries in the field of Artificial Intelligence are generally competitive and can range from entry-level positions to higher-paying roles. AI Engineers in India typically earn an average annual salary of ?7.0 Lakhs, with the salary range varying from ?3.0 Lakhs to ?20.0 Lakhs, based on information provided by AmbitionBox.
The objective of DataMites' AI Engineer Course in Siliguri is to equip individuals with the necessary skills and knowledge 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, preparing participants to build and deploy AI models in real-world scenarios.
Yes, DataMites provides Artificial Intelligence Courses in Siliguri that include placement assistance. They offer support in resume building, interview preparation, and job placement guidance.
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.