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 capable of performing tasks that typically require human intelligence. This involves creating algorithms and systems that can learn, reason, perceive, and make decisions.
Steps to pursue a career as an AI engineer:
Several pioneers and contributors in the field of AI include Alan Turing, John McCarthy, Marvin Minsky, and Arthur Samuel. However, AI has evolved through the collective efforts of numerous researchers and scientists over time.
A career as an AI engineer is considered promising and rewarding. The demand for AI professionals is rapidly growing as organizations across industries adopt AI technologies. AI engineers have opportunities to work on cutting-edge projects, solve complex problems, and contribute to technological advancements. The field offers competitive salaries and continuous learning prospects.
Typically, a career in artificial intelligence requires:
The AI Engineer Course provides a comprehensive understanding of AI concepts, algorithms, and technologies. It covers topics such as machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques. The curriculum includes hands-on projects and practical exercises to develop skills in building and deploying AI models.
To delve into Artificial Intelligence in Faridabad, it is helpful to have a basic understanding of programming concepts, familiarity with mathematics, and a curiosity to learn and explore AI technologies.
Transitioning into an artificial intelligence career from a different field can be achieved through several steps:
Mastering Artificial Intelligence can be challenging due to the vastness and complexity of the field. It requires a solid foundation in mathematics, programming skills, and continuous learning to keep up with advancements. However, with dedication, practice, and ongoing learning, one can acquire proficiency in AI.
The AI For Managers Course covers topics such as AI basics, machine learning, deep learning, natural language processing, computer vision, AI implementation challenges, ethical considerations, and AI project management. It equips managers with the necessary knowledge to make informed decisions regarding AI adoption, implementation, and leveraging AI technologies for business growth.
Python is widely considered the best language for AI due to its simplicity, extensive libraries, and active community support. Python offers powerful libraries like TensorFlow, PyTorch, and scikit-learn, which facilitate the implementation of AI algorithms and frameworks. Additionally, Python's readability and versatility make it suitable for various AI tasks, including machine learning, natural language processing, and computer vision.
The AI For Managers Course is suitablefor professionals in managerial or leadership roles who are interested in understanding and utilizing AI technologies in their organizations. Executives, project managers, business analysts, and decision-makers can benefit from this course.
There are various job roles and career paths within the field of AI, including:
DataMites is a preferred choice for Artificial Intelligence courses in Faridabad due to several reasons:
Eligibility criteria for an Artificial Intelligence Certification Training in Faridabad may vary depending on the specific program. Generally, individuals with backgrounds in computer science, engineering, mathematics, or related fields are eligible to enroll.
Learning Artificial Intelligence in Faridabad is significant due to the increasing demand for AI professionals across industries. It equips individuals with valuable skills sought after in the job market, opens up career opportunities, and allows them to contribute to technological advancements using AI.
Obtaining an Artificial Intelligence Certification in Faridabad is important as it validates one's knowledge and skills in AI. It adds credibility to their profile, enhances job prospects, and demonstrates a commitment to continuous learning and professional development in the field.
DataMites offers various 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 the Artificial Intelligence course in Faridabad provided by DataMites may vary depending on the specific course chosen. The course duration can range from one month to one year, offering flexibility to accommodate different schedules and preferences. DataMites provides 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 the field of Artificial Intelligence through 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 AI Engineer Course in Faridabad offered by DataMites aims to equip individuals with the skills and knowledge required to become proficient AI engineers. It covers various aspects of AI, including machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques. The course prepares participants to build and deploy AI models in real-world scenarios.
The Certified NLP Expert course in Faridabad offered by DataMites focuses on Natural Language Processing (NLP), a subfield of AI. The course covers fundamental NLP concepts, text preprocessing, sentiment analysis, named entity recognition, topic modeling, language generation, and neural network-based NLP models. It trains individuals in NLP techniques and their practical applications.
The Artificial Intelligence for Managers Course in Faridabad offered by DataMites covers topics such as AI basics, machine learning, deep learning, natural language processing, computer vision, AI implementation challenges, ethical considerations, and AI project management. It provides managers with the necessary knowledge to make informed decisions regarding AI adoption, implementation, and leveraging AI technologies for business growth.
The AI Foundation Course in Faridabad at DataMites provides a comprehensive introduction to AI. It covers 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. The course establishes a strong foundation in AI concepts and techniques.
The Flexi-Pass feature available at DataMites allows participants to attend training sessions at their convenience. It offers flexibility in scheduling by providing multiple batch options. This feature ensures that individuals can balance their learning with other commitments and attend classes based on their availability and preference.
The fee for the Artificial Intelligence Training program in Faridabad at DataMites may vary depending on factors such as the specific course selected and the program duration. Generally, the fee for the Artificial Intelligence course in Faridabad ranges from INR 60,795 to INR 154,000.
DataMites offers a range of certifications in the field of Artificial Intelligence, including prestigious certifications from renowned organizations such as IABAC (International Association of Business Analytics Certifications), JAINx, and NASSCOM FutureSkills Prime. These certifications hold significant value in the industry and are highly respected. Completing the Artificial Intelligence training at DataMites provides participants with the opportunity to earn these esteemed certifications, enhancing their professional credibility and marketability in the AI field. These certifications serve as a validation of their skills and knowledge in Artificial Intelligence, distinguishing them in the competitive job market.
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.