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 that can perform tasks typically requiring human intelligence. It involves creating algorithms and systems that can learn, reason, perceive, and make decisions.
AI finds wide application across various fields such as healthcare, finance, transportation, customer service, manufacturing, and more. It has diverse applications and is transforming industries in numerous ways.
Everyday instances of AI include virtual assistants like Siri and Alexa, personalized recommendations on streaming platforms, fraud detection systems in banks, voice recognition systems, and self-driving cars.
Prerequisites for acquiring AI knowledge in Ludhiana may include basic programming understanding, familiarity with mathematics (particularly linear algebra and statistics), and a keen interest in exploring AI technologies. However, specific prerequisites may vary based on the training program or course.
To pursue a career in AI, a strong educational background in computer science, AI, data science, or related fields is typically required. Employers often prefer candidates with a bachelor's or master's degree in these disciplines. Additionally, knowledge of programming languages, mathematics, and machine learning concepts is beneficial.
The future job prospects for AI are highly promising, with growing demand for AI professionals as organizations realize the potential of AI technologies. AI-related roles are expected to witness significant growth, offering ample opportunities for individuals with AI skills and expertise.
Individuals transitioning into an AI career from a different field can take several steps. These include gaining a solid understanding of AI concepts, algorithms, and technologies through online courses or self-study, learning programming languages commonly used in AI, building a portfolio of AI projects, seeking internships or freelance opportunities for practical experience, networking with AI professionals, and staying updated on industry trends through conferences and events.
AI is a broader concept that encompasses the development of intelligent machines simulating human intelligence. It includes various techniques, including Machine Learning (ML). ML, on the other hand, is a subset of AI focused on enabling machines to learn from data and make predictions or decisions without explicit programming.
Job roles in 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 addressing ethical implications.
Yes, a career in Artificial Intelligence holds great promise. With the increasing adoption of AI technologies by organizations, the demand for AI professionals is growing rapidly. These professionals have the chance to engage in groundbreaking projects, tackle intricate problems, and drive technological advancements. The field offers attractive salaries, continuous opportunities for learning and growth, and a diverse range of career paths.
To start a career in AI, individuals can begin by establishing a strong foundation in mathematics, computer science, and programming. They should gain knowledge 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.
Individuals can acquire knowledge in Artificial Intelligence through self-study using online resources, textbooks, and tutorials. They can also enroll in AI courses and training programs, pursue a degree or diploma in AI or related fields, attend workshops and conferences, and engage in practical projects and competitions.
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 Ludhiana varies depending on the chosen course. The course can last from one month to one year, with options for both weekday and weekend training sessions to accommodate different schedules.
DataMites is preferred for online Artificial Intelligence training in Ludhiana due to 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 option to obtain certifications upon completion.
DataMites' AI Foundation Course in Ludhiana provides a comprehensive introduction to AI, covering the basics of AI, machine learning, and deep learning. The course includes supervised and unsupervised learning, neural networks, deep learning algorithms, model evaluation, and deployment techniques.
DataMites' Artificial Intelligence for Managers Course in Ludhiana covers 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 knowledge to make informed decisions about AI adoption and implementation.
Yes, DataMites offers both online and classroom training options for Artificial Intelligence in Ludhiana, allowing participants to choose the mode of training that suits their preferences.
The fee for DataMites' Artificial Intelligence Training in Ludhiana depends on the specific course and duration. DataMites' Artificial Intelligence Training program in Ludhiana offers varying fees depending on the course and duration selected. Typically, the artificial intelligence course fee in Ludhiana can range from INR 60,795 to INR 154,000, enabling individuals to select a program that fits their budget and learning goals.
The Flexi-Pass feature at DataMites in Ludhiana allows participants to attend training sessions at their convenience. It offers multiple batch options and flexible scheduling, ensuring that individuals can balance their learning with other commitments.
Certification options offered by DataMites include renowned organizations like IABAC (International Association of Business Analytics Certifications), JAINx, and NASSCOM FutureSkills Prime. These certifications hold significant recognition within the industry and can greatly boost your reputation and employability in the Artificial Intelligence field. Upon completion of the Artificial Intelligence training at DataMites, you have the opportunity to obtain these prestigious certifications, underscoring your proficiency in AI.
Yes, upon completing a training program with DataMites in Ludhiana, participants can obtain a Course Completion Certificate, which recognizes their successful completion of the program.
Yes, DataMites may offer the option to attend a demo class before enrolling in the Artificial Intelligence course in Ludhiana, allowing individuals to experience the training approach and content before making a decision.
The average salary for an Artificial Intelligence Engineer in Ludhiana varies depending on factors such as experience, skills, and the organization. Salaries in the field of Artificial Intelligence are generally competitive and can range from entry-level positions to higher-paying roles. AI Engineers in India can expect to earn an annual salary ranging from ?3.0 Lakhs to ?20.0 Lakhs, with an average of ?7.0 Lakhs, according to AmbitionBox.
DataMites' AI Engineer Course in Ludhiana aims to equip individuals with the skills and knowledge necessary 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, preparing participants to build and deploy AI models in real-world scenarios.
Yes, DataMites offers Artificial Intelligence Courses in Ludhiana that include placement assistance. They provide support in resume building, interview preparation, and job placement guidance.
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.