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 capable of learning, reasoning, perceiving, and making decisions.
Everyday examples of Artificial Intelligence include virtual assistants like Siri and Alexa, personalized recommendations on streaming platforms, fraud detection systems in banks, voice recognition systems, and self-driving cars.
Artificial Intelligence is widely applied across various industries such as healthcare, finance, transportation, customer service, manufacturing, and more. It has broad applications and is transforming multiple sectors.
Pursuing a career in Artificial Intelligence typically requires a strong educational background in computer science, AI, data science, or related fields. 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 beneficial.
Prerequisites for acquiring knowledge in Artificial Intelligence in Agra may include a basic understanding of programming concepts, familiarity with mathematics (particularly linear algebra and statistics), and a curious mindset to explore AI technologies. However, specific prerequisites may vary depending on the training program or course.
The future prospects for AI in the job market are highly promising. The demand for AI professionals is rapidly growing as organizations recognize the potential of AI technologies. AI-related job roles are expected to experience significant growth, providing numerous opportunities for individuals with AI skills and expertise.
To transition into an Artificial Intelligence career from a different field, individuals can take several steps. These include gaining a solid understanding of AI concepts, algorithms, and technologies through online courses, self-study, or academic programs. Learning programming languages commonly used in AI, building a portfolio of AI projects, seeking internships or freelance opportunities to gain practical experience, networking with AI professionals, and staying updated on industry trends are important for a successful transition.
Artificial Intelligence (AI) is a broader concept that encompasses the development of intelligent machines capable of simulating human intelligence. It includes various techniques and approaches, including Machine Learning (ML). Machine Learning is a subset of AI that focuses on enabling machines to learn from data and make predictions or decisions without explicit programming.
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.
To start a career in AI, individuals can begin by acquiring 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 to gain practical experience are crucial steps.
Yes, a career in Artificial Intelligence is considered promising. The demand for AI professionals is rapidly increasing as organizations adopt AI technologies. AI professionals have the opportunity to work on cutting-edge projects, solve complex problems, and contribute to technological advancements. The field offers competitive salaries, continuous learning prospects, and a wide range of career paths.
DataMites stands out as the preferred choice for Online Artificial Intelligence Training in Agra due to several reasons. These include highly experienced trainers who are industry professionals, a 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 course completion.
DataMites provides 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 Agra may vary depending on the specific course selected. The course duration can range from one month to one year, providing flexibility to accommodate different schedules and preferences. DataMites offers training sessions on both weekdays and weekends, allowing participants to choose a schedule that suits their availability and learning needs.
Individuals can acquire knowledge in 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 Artificial Intelligence for Managers Course offered by DataMites in Agra covers essential AI topics such as 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 knowledge necessary to make informed decisions regarding AI adoption, implementation, and leveraging AI technologies for business growth.
DataMites' AI Foundation Course in Agra covers a comprehensive introduction to AI, encompassing subjects such as 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 fee for DataMites' Artificial Intelligence Training program in Agra can vary depending on the specific course and duration. The cost of artificial intelligence courses in Agra generally varies between INR 60,795 and INR 154,000, allowing individuals to choose a program that aligns with their financial resources and educational objectives.
Yes, DataMites offers both online and classroom training options for Artificial Intelligence in Agra. Participants have the flexibility to choose the mode of training that best suits their preferences and requirements.
The Flexi-Pass feature provided by DataMites in Agra allows participants to attend training sessions at their convenience. It offers multiple batch options and flexible scheduling, enabling individuals to balance their learning with other commitments. This feature ensures that participants can attend classes based on their availability and preferences.
DataMites offers prestigious certifications from esteemed 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 substantially enhance your professional standing 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, DataMites may offer the option to attend a demo class before enrolling in the Artificial Intelligence course in Agra. This allows individuals to experience the training approach, course content, and teaching style firsthand before making a decision.
The average salary for an Artificial Intelligence Engineer in Agra can vary depending on factors such as experience, skills, and the specific organization. Salaries in the field of Artificial Intelligence are generally competitive, ranging from entry-level positions to higher-paying roles based on expertise and experience. AmbitionBox data reveals that the salary range for AI Engineers in India is usually between ?3.0 Lakhs and ?20.0 Lakhs, with an average annual salary of ?7.0 Lakhs.
Yes, DataMites offers placement assistance with their Artificial Intelligence Courses in Agra. They strive to support participants in connecting with job opportunities in the field of Artificial Intelligence by providing resume building, interview preparation, and job placement guidance.
The objective of DataMites' AI Engineer Course in Agra 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 aims to prepare participants to build AI models and deploy them effectively in real-world scenarios.
Certainly, upon completing a training program with DataMites in Agra, participants can obtain a Course Completion Certificate. This certificate acknowledges their successful completion of the program and can be a valuable addition to their professional profile.
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.