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. It involves creating algorithms and systems that can learn, reason, perceive, and make decisions.
Artificial Intelligence (AI) is a field that has evolved through the contributions of many researchers and scientists over time. Notable figures include Alan Turing, John McCarthy, Marvin Minsky, and Arthur Samuel.
Implementing AI offers various advantages, such as increased efficiency and productivity, improved accuracy in tasks, enhanced decision-making capabilities, automation of repetitive tasks, better customer experiences, and potential innovation and business opportunities.
DataMites offers both AI Engineer and AI Expert Courses. The AI Engineer Course provides a strong foundation in AI concepts, algorithms, and practical implementation. On the other hand, the AI Expert Course delves deeper into advanced AI algorithms, emerging trends, and complex applications, offering specialized knowledge and skills.
AI applications include virtual assistants like Siri and Alexa, autonomous vehicles, recommendation systems, fraud detection systems, chatbots, image and speech recognition systems, medical diagnosis, and predictive analytics.
Completing Artificial Intelligence training in Warangal can lead to career opportunities such as AI engineer, data scientist, machine learning engineer, AI research scientist, AI consultant, AI project manager, and AI ethicist in industries such as healthcare, finance, e-commerce, and technology.
Artificial Intelligence is applied in various fields, including healthcare (diagnosis, drug discovery), finance (fraud detection, risk assessment), transportation (autonomous vehicles, route optimization), customer service (chatbots, virtual assistants), manufacturing (automation, quality control), and many more.
Commonly used technologies in Artificial Intelligence include machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, natural language processing tools, computer vision libraries, and AI development platforms.
Prominent companies hiring for artificial intelligence roles include Google, Microsoft, Amazon, IBM, and other technology companies. Additionally, companies in industries such as healthcare, finance, automotive, and retail are increasingly investing in AI and hiring professionals in this field.
To acquire knowledge in Artificial Intelligence in Warangal, it is beneficial to have a background in computer science, mathematics, or related fields. Familiarity with programming languages like Python and knowledge of statistics and linear algebra are also useful prerequisites. However, specific AI courses may have their own additional prerequisites, so it is recommended to check with the training provider for detailed requirements.
To start a career in artificial intelligence without prior experience, individuals can begin by gaining a strong foundation in mathematics, computer science, and programming. They can take online courses, pursue degrees in AI-related fields, work on personal AI projects, participate in competitions, and seek internships or entry-level positions to gain practical experience.
Obtaining an Artificial Intelligence Certification in Warangal is important as it validates individuals' AI knowledge and skills. It enhances professional credibility, expands job opportunities, and demonstrates a commitment to continuous learning and growth in the field.
DataMites is preferred for Artificial Intelligence courses in Warangal due to several reasons, including:
DataMites provides 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 DataMites' Artificial Intelligence Training in Warangal may vary depending on the specific course selected. The course duration ranges from one month to one year, offering flexibility to accommodate different schedules and preferences. Weekday and weekend training sessions are available for convenience.
Knowledge in the field of Artificial Intelligence can be acquired through self-study using online resources, textbooks, and tutorials. Enrolling in AI courses and training programs, pursuing AI-related degrees or diplomas, attending workshops and conferences, and engaging in practical projects and competitions are also effective ways to gain knowledge.
The purpose of DataMites' AI Engineer Course in Warangal is to equip individuals with the skills and knowledge required to become proficient AI engineers. The course covers essential AI concepts, algorithms, and practical implementation techniques, preparing participants to build and deploy AI models in real-world scenarios.
To pursue a career as an AI engineer in Warangal, individuals can follow these steps:
DataMites' Placement Assistance Team supports students in connecting with job opportunities in the AI field. They provide assistance with resume building, interview preparation, and job placement guidance, helping students leverage their AI skills to secure suitable positions.
Yes, participants can access help sessions offered by DataMites to enhance their understanding of the training topics. These sessions provide additional clarification, guidance, and support to ensure a comprehensive grasp of the covered concepts.
Yes, participants who successfully complete an Artificial Intelligence course from DataMites receive a Course Completion Certificate. This certificate serves as proof of completion and adds value to their professional credentials.
DataMites engages experienced trainers who are industry professionals and subject matter experts in Artificial Intelligence. These trainers bring practical knowledge and expertise to deliver high-quality instruction.
DataMites' Flexi-Pass feature in Warangal offers participants flexibility in attending training sessions. It provides multiple batch options, allowing individuals to choose schedules that suit their availability and preferences.
Specific document requirements for the training session at DataMites may vary depending on the program and location. It is recommended to contact DataMites directly for detailed information regarding any specific documents needed for the training session in Warangal.
The policy for missed sessions during the Artificial Intelligence training at DataMites in Warangal may vary depending on the specific course and batch. Participants are advised to refer to DataMites' guidelines or contact their support team for information on the missed session policy.
DataMites accepts various payment methods for their courses in Artificial Intelligence, including online payments through credit cards, debit cards, and net banking. They may also provide options for payment through digital wallets or other online payment platforms.
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.