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 simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.
Instances of AI in daily life include virtual assistants like Siri, recommendation systems on platforms like Netflix, autonomous vehicles, fraud detection systems in banking, and medical diagnosis systems.
Advantages of AI include increased efficiency, enhanced decision-making, personalized experiences, cost savings, and advanced data analysis. Disadvantages include job displacement, ethical concerns, privacy issues, and dependency on AI systems.
A career in AI typically requires a strong foundation in mathematics, statistics, computer science, or a related field. A bachelor's degree or higher, with specialization in AI, machine learning, or data science, is often preferred.
Top companies hiring for AI positions include Google, Microsoft, Amazon, Facebook, IBM, Apple, and NVIDIA, along with companies in healthcare, finance, automotive, and e-commerce sectors.
AI is a broader concept encompassing the simulation of human intelligence in machines, while machine learning is a subset of AI that focuses on algorithms and statistical models to enable machines to learn and improve from data.
Typical qualifications for an AI career include a bachelor's or higher degree in computer science, mathematics, statistics, or a related field, along with specialized knowledge in AI, machine learning, and programming.
To start an AI career with no prior experience, begin by gaining foundational knowledge in AI concepts and programming languages. Take online courses, work on projects, and seek internships or entry-level positions to gain practical experience.
The AI Engineer Course covers fundamental AI concepts, machine learning algorithms, deep learning, data preprocessing, model evaluation, and deployment. It focuses on programming languages like Python and hands-on implementation of AI algorithms and models.
The AI Expert Course is an advanced program that delves deeper into specialized AI topics, including advanced machine learning techniques, neural networks, natural language processing, and computer vision. It aims to develop expertise in specific AI domains.
Transitioning into an AI career from a different field involves assessing transferable skills, acquiring relevant AI knowledge through courses or certifications, building a network, showcasing previous experience, gaining practical experience, and staying updated on AI advancements.
Learning AI in Ranchi opens up opportunities to contribute to technological advancements and solve real-world problems using AI. It equips individuals with in-demand skills and prepares them for a promising career in the field.
Obtaining an AI certification in Ranchi adds credibility to one's AI skills and knowledge, enhances job prospects, and demonstrates commitment to professional development. It validates expertise in the field and sets individuals apart in the competitivejob market.
DataMites offers comprehensive AI training with expert faculty, practical learning, industry-relevant curriculum, and placement assistance. Their courses cater to different skill levels and provide flexibility in scheduling, making them a preferred choice for AI education.
DataMites is a preferred choice for AI courses in Ranchi due to its comprehensive curriculum, hands-on approach, experienced instructors, flexibility of online or classroom training, placement support, and industry recognition.
DataMites provides certifications from reputable organizations like IABAC, JAINx, and NASSCOM FutureSkills Prime, validating AI skills and enhancing credibility.
The duration of the Artificial Intelligence course in Ranchi offered by DataMites varies based on the chosen course, with options ranging from one month to one year. Flexible training schedules are available on weekdays and weekends.
DataMites is a preferred choice for AI courses in Ranchi due to its comprehensive curriculum, experienced instructors, practical approach, flexibility of online or classroom training, placement assistance, industry recognition, and opportunities for career growth.
The AI Engineer Course at DataMites in Ranchi aims to equip students with the skills and knowledge needed to become proficient AI engineers. It covers topics such as machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques.
The Certified NLP Expert course at DataMites in Ranchi focuses on developing Natural Language Processing (NLP) skills and applications. It covers text preprocessing, sentiment analysis, named entity recognition, topic modeling, language generation, and neural network-based NLP models.
The AI for Managers Course at DataMites in Ranchi covers AI basics, machine learning, deep learning, natural language processing, computer vision, AI implementation challenges, ethical considerations, and AI project management. It enables managers to make informed decisions regarding AI adoption and implementation.
The AI Foundation Course in Ranchi at DataMites provides an introduction to AI concepts, machine learning, and deep learning. It covers supervised and unsupervised learning, neural networks, deep learning algorithms, model evaluation, and deployment techniques.
The eligibility criteria for enrolling in an Artificial Intelligence Certification Training in Ranchi may vary depending on the specific course. Generally, individuals with an interest in pursuing a career in AI can enroll, regardless of their educational or professional background.
Yes, DataMites provides Artificial Intelligence Courses in Ranchi that include placement assistance. Their Placement Assistance Team supports students with job connections, resume creation, mock interviews, and interview question discussions.
The Flexi-Pass feature offered by DataMites provides learners with flexibility in terms of course access and scheduling. With the Flexi-Pass, participants can attend classes for up to one year, allowing them to learn at their own pace and convenience. This feature enables learners to balance their personal and professional commitments while pursuing the course, ensuring ample time to complete the training and gain a thorough understanding of the content.
The training at DataMites is delivered by experienced and highly qualified instructors who possess expertise in the field of Artificial Intelligence and related domains. These trainers bring their industry experience and deep knowledge of AI concepts to provide comprehensive instruction. They areskilled at explaining complex topics, guiding participants through practical exercises, and addressing any queries or concerns.
The Placement Assistance Team at DataMites provides various services to students, including job connections, resume creation, mock interviews, and discussions on interview questions. They offer guidance and resources to enhance job prospects and assist students in securing suitable positions in the field of Artificial Intelligence.
The fee for the Artificial Intelligence Training program at DataMites in Ranchi can vary based on factors such as the chosen course and program duration. Generally, the fee for the Artificial Intelligence Course in Ranchi ranges from INR 60,795 to INR 154,000.
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.