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 requiring human-like intelligence. It involves creating algorithms and systems capable of learning, reasoning, perceiving, and making decisions.
Artificial Intelligence (AI) is the result of the collective contributions of various researchers and scientists over time, including Alan Turing, John McCarthy, Marvin Minsky, and Arthur Samuel.
Implementing AI offers numerous benefits, including increased efficiency and productivity, improved accuracy and precision in tasks, enhanced decision-making capabilities, automation of repetitive tasks, better customer experiences, and the potential for innovation and new business opportunities.
The AI Engineer and AI Expert Courses offered by DataMites differ in terms of depth and specialization. The AI Engineer Course focuses on building a strong foundation in AI concepts, algorithms, and technologies, with an emphasis on practical implementation. The AI Expert Course delves deeper into advanced AI algorithms, emerging trends, and complex applications, providing specialized knowledge and skills.
Real-world examples of 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.
Artificial Intelligence is commonly applied in domains such as 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.
After completing AI training in Amritsar, individuals can pursue 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.
Commonly used technologies in AI include machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, natural language processing tools, computer vision libraries, and AI development platforms.
Prominent companies that hire AI professionals include Google, Microsoft, Amazon, IBM, as well as organizations in healthcare, finance, automotive, and retail sectors.
To acquire knowledge in AI in Amritsar, having a background in computer science, mathematics, or related fields is advantageous. Familiarity with programming languages like Python and understanding of statistics and linear algebra are also useful prerequisites. However, specific AI courses may have their own unique prerequisites, so it's recommended to check with the training provider for detailed requirements.
To enter a career in AI without prior experience, individuals can start by acquiring a strong foundation in mathematics, computer science, and programming. They can take online courses or pursue a degree in AI-related fields, work on personal AI projects, participate in competitions like Kaggle, and seek internships or entry-level positions to gain practical experience.
Obtaining an Artificial Intelligence Certification in Amritsar is important as it validates individuals' knowledge and skills in AI. It enhances their professional credibility, increases job prospects, and demonstrates their commitment to continuous learning and growth in the field.
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 Amritsar varies depending on the specific course chosen. The course duration can range from one month to one year, accommodating different schedules and preferences. Weekday and weekend training sessions are available for flexibility.
Individuals can acquire knowledge in Artificial Intelligence through various methods, including 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' AI Engineer Course in Amritsar aims 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. It prepares participants to build AI models and deploy them in real-world scenarios.
To pursue a career as an AI engineer in Amritsar, individuals can follow these steps:
DataMites accepts various payment methods for their courses in Artificial Intelligence, including online payment through credit cards, debit cards, and net banking. They may also offer options for payment through digital wallets or other online payment platforms.
DataMites' Placement Assistance Team provides support to students in connecting with job opportunities in the field of AI. They assist with resume building, interview preparation, and job placement guidance to help students leverage their AI skills and secure suitable positions.
Yes, participants can access help sessions provided by DataMites to enhance their understanding of the training topics. These sessions offer additional clarification, guidance, and support to ensure a comprehensive grasp of the concepts covered in the training.
Yes, upon successful completion of an Artificial Intelligence course from DataMites, participants 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 to participants.
DataMites' Flexi-Pass feature in Amritsar offers participants the flexibility to attend training sessions according to their convenience. It provides multiple batch options, allowing individuals to choose schedules that align with their availability and preferences.
Specific document requirements for the training session at DataMites may vary based on the program and location. It is advisable to contact DataMites directly for detailed information regarding any specific documents needed for the training session in Amritsar.
The policy for missed sessions during the Artificial Intelligence training at DataMites in Amritsar may vary depending on the specific course and batch. Participants are recommended to refer to DataMites' guidelines or contact their support team for information on the missed session policy.
DataMites stands out as the preferred choice for Artificial Intelligence courses in Amritsar due to the following reasons:
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.