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 and implementation of computer systems that can perform tasks requiring human intelligence. These systems are designed to learn, reason, perceive, and make decisions, ultimately simulating human-like intelligence.
To pursue a career as an AI engineer, individuals can take the following steps: build a strong foundation in mathematics, computer science, and programming, gain knowledge of AI concepts, algorithms, and technologies, learn programming languages commonly used in AI, master machine learning and deep learning techniques, develop a portfolio of AI projects to showcase practical skills, and stay updated with the latest advancements in AI.
The preference between AI and ML depends on individual interests and career goals. AI encompasses a broader scope, including various techniques and approaches to simulate human intelligence, while ML focuses specifically on training machines to learn from data. Choosing between AI and ML requires considering the level of depth and specialization one desires in their career.
AI engineers have excellent career prospects as the demand for AI expertise continues to grow. With the increasing reliance on AI technologies, organizations are actively seeking skilled professionals who can harness the power of AI to drive innovation and create value. AI engineers can explore a wide range of industries and job roles, from developing intelligent algorithms to implementing AI solutions, making it an exciting and dynamic career choice.
Entering the field of artificial intelligence without prior experience can be achieved by building a strong foundation in mathematics, computer science, and programming, gaining knowledge of AI concepts and technologies through online courses or self-study, learning programming languages commonly used in AI, undertaking AI projects to develop practical skills, seeking internships or entry-level positions for hands-on experience, and networking with AI professionals.
Artificial intelligence involves the creation of intelligent systems that can perceive and reason about their environment, learn from experience, and make decisions. Machine learning, on the other hand, is a subset of AI that focuses on developing algorithms that can automatically learn and improve from data without being explicitly programmed. Machine learning is a tool used within the broader field of artificial intelligence to achieve specific tasks and goals.
Pursuing a career in artificial intelligence often requires a solid educational background in computer science, AI, data science, or a closely related discipline. Employers generally prefer candidates who hold a bachelor's or master's degree in these fields, as it demonstrates a strong foundational knowledge necessary for AI roles. Furthermore, having expertise in programming languages, mathematics, and machine learning concepts can significantly contribute to success in the field.
To acquire knowledge in Artificial Intelligence in Ghaziabad, individuals need to possess specific qualifications or fulfill certain prerequisites.
Yes, mastering Artificial Intelligence is considered challenging due to the complex algorithms, mathematical concepts, and continuous advancements in the field.
Implementing AI brings substantial value to organizations and industries. It enables automation of repetitive tasks, leading to increased efficiency and cost savings. AI-powered systems can analyze vast amounts of data, extracting valuable insights for better decision-making. It enhances customer experiences through personalized interactions and tailored recommendations. AI also drives innovation, enabling organizations to develop cutting-edge products and services. Overall, AI implementation empowers organizations to stay competitive, improve operations, and achieve sustainable growth.
To prepare for AI job interviews and technical assessments, individuals should focus on reviewing AI concepts, practicing coding in languages like Python or R, solving AI-related problems, staying updated with the latest advancements, building a portfolio of AI projects, participating in competitions, engaging in mock interviews, and networking with AI professionals. These strategies will help individuals showcase their knowledge, skills, and practical experience in AI, increasing their chances of success in interviews and assessments.
Participants in DataMites' AI Engineer Course can expect to gain a comprehensive understanding of AI concepts, algorithms, and technologies. They will learn machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques. Through hands-on projects and practical exercises, participants will acquire the skills to build and deploy AI models. By completing the course, they will be equipped to pursue AI engineering roles and contribute to cutting-edge AI projects in various industries.
The AI Expert Course offered by DataMites covers advanced topics and techniques in the field of Artificial Intelligence. Participants will delve deeper into machine learning algorithms, deep learning architectures, natural language processing, computer vision, and AI model optimization. The course is designed to provide in-depth knowledge and practical skills required to become an expert in AI. By completing the course, participants will be equipped with advanced AI capabilities and prepared for challenging AI projects and roles.
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.
Obtaining certification in Artificial Intelligence in Ghaziabad holds significant significance as it validates individuals' knowledge and skills in the AI field. It enhances credibility, marketability, and demonstrates expertise to potential employers or clients. Certification serves as evidence of commitment to professional growth in the rapidly evolving field of AI.
DataMites stands out as the preferred choice for Artificial Intelligence courses in Ghaziabad for several reasons. These include experienced trainers who are industry professionals, a comprehensive course curriculum covering various AI topics, practical hands-on learning approach, flexible scheduling, placement assistance, and the opportunity to obtain certifications upon completion. DataMites prioritizes quality education, industry-relevant projects, and comprehensive student support.
DataMites offers a range of 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. These certifications validate individuals' proficiency and expertise in AI, enhancing their professional recognition.
The duration of DataMites' Artificial Intelligence course in Ghaziabad varies depending on the specific course selected. It provides flexibility with durations ranging from one month to one year, accommodating different schedules and learning preferences of participants.
The purpose of DataMites' AI Engineer Course in Ghaziabad is 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 gain practical experience by working on real-world projects.
To pursue a career as an AI engineer in Ghaziabad, individuals should build a strong foundation in mathematics, computer science, and programming. Enrolling in AI-related courses or training programs helps learn AI concepts, algorithms, and technologies. Gaining hands-on experience through projects, internships, participating in competitions, and staying updated with the latest advancements in the field are also beneficial.
DataMites' Placement Assistance Team provides support to students in various aspects of job placement. They assist in resume preparation, conduct mock interviews, offer 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 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 Ghaziabad offers participants the flexibility to attend training sessions at their convenience. It provides multiple batch options and allows individuals to choose a 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.
DataMites accepts various payment methods for its courses in Artificial Intelligence, including online payment options like credit/debit cards, net banking, and digital wallets. They may also provide options for bank transfers or offline payments at their training centers.
The Artificial Intelligence Training program in Ghaziabad at DataMites typically requires an investment ranging from INR 60,795 to INR 154,000, depending on the specific course selected.
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.