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Self Learning + Live Mentoring
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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 refers to the development of intelligent machines that can perform tasks that typically require human intelligence. It involves the creation of systems and algorithms that can learn, reason, and make decisions autonomously, simulating human-like intelligence.
Instances of AI in everyday life:
Advantages:
Disadvantages:
A career in AI typically requires a strong educational background in computer science, mathematics, or a related field. The following qualifications can be beneficial:
The AI Engineer Course is designed to provide participants with comprehensive training in the field of Artificial Intelligence (AI). This course focuses on developing practical skills and knowledge in areas such as machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques. Participants learn how to build AI models, analyze data, and apply AI algorithms to solve real-world problems. The AI Engineer Course typically includes a combination of theoretical concepts, hands-on exercises, and practical projects to provide a well-rounded learning experience.
AI Expert Course typically caters to individuals who already have a solid foundation in AI and are looking to deepen their expertise in specific areas. This advanced-level course delves into advanced AI algorithms, emerging trends, cutting-edge research, and complex applications. The AI Expert Course aims to equip participants with the knowledge and skills required to tackle complex AI challenges, develop innovative solutions, and push the boundaries of AI technology. It often includes specialized modules or tracks focusing on topics like deep learning, computer vision, natural language processing, or reinforcement learning.
To transition into an AI career from a different field, consider the following steps:
Yes, artificial intelligence is considered a promising career choice. The demand for AI professionals is rapidly growing across various industries, including healthcare, finance, e-commerce, and technology. With advancements in AI technologies and increasing adoption of AI solutions, there are ample opportunities for individuals to contribute and make significant impacts in the field. However, it is important to continuously update skills and stay abreast of the latest developments to stay competitive in this rapidly evolving field.
Python is considered one of the most suitable programming languages for AI development. It offers a wide range of libraries and frameworks, such as TensorFlow, PyTorch, and scikit-learn, that facilitate AI tasks like machine learning, deep learning, and natural language processing. Python's simplicity, readability, and vast community support make it popular among AI practitioners.
Comparing the advantages of AI and ML is subjective as they are closely related and often used together. However, some general points can be considered:
Artificial Intelligence (AI) is a broader concept that encompasses the development of intelligent systems, while Machine Learning (ML) is a subset of AI that focuses on enabling systems to learn and improve from data without explicit programming.
DataMites offers the following certifications in the field of Artificial Intelligence in Dispur:
Depending on the specific course selection, the duration of the Artificial Intelligence course in Dispur at DataMites can vary from one month to a year. To accommodate various schedules, training sessions are offered on both weekdays and weekends.
Individuals can acquire knowledge in the field of Artificial Intelligence through various means, including:
The purpose of the AI Engineer Course offered by DataMites in Dispur is to equip individuals with the skills and knowledge required to become proficient AI engineers. This course covers various aspects of AI, including machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques. The aim is to provide hands-on experience through practical projects and case studies, enabling participants to build AI models and deploy them in real-world scenarios.
The Certified NLP Expert course in Dispur offered by DataMites focuses on Natural Language Processing (NLP), a subfield of AI. The course content includes fundamental concepts of NLP, text preprocessing, sentiment analysis, named entity recognition, topic modeling, language generation, and neural network-based NLP models. The course aims to train individuals in NLP techniques and applications, enabling them to solve real-world problems using NLP algorithms and models.
The Artificial Intelligence for Managers Course in Dispur provided 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. The course aims to provide managers with the necessary knowledge to make informed decisions related to AI adoption, implementation, and leveraging AI technologies for business growth.
The AI Foundation Course in Dispur 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 AI Foundation Course aims to provide participants with a solid foundation in AI concepts and techniques, preparing them for further specialization or practical AI projects.
Anyone who is interested in pursuing a career in Artificial Intelligence can enroll in an Artificial Intelligence Certification Training in Dispur. While eligibility criteria may vary depending on the specific course and institute, generally, there are no strict prerequisites in terms of educational background or prior experience. As long as you have a passion for AI and the willingness to learn, you are eligible to enroll in an Artificial Intelligence Certification Training program.
The average salary for an Artificial Intelligence Engineer in Dispur may vary based on factors such as experience, skills, industry, and the specific organization. It is difficult to provide an exact figure without specific data for Dispur. According to Glassdoor, the average annual salary for an AI Engineer in India is approximately ?9,44,075.
To ensure a smooth process for issuing the participation certificate and booking the certification exam, participants are required to bring valid photo identification proofs such as a National ID card or driving license. These documents serve as proof of identity and are necessary for authentication purposes during the training session at DataMites in Dispur.
In the event that you are unable to attend a session during the Artificial Intelligence training at DataMites in Dispur, you can coordinate with your instructors to schedule a makeup class at a time convenient for you. For online training, recorded sessions will also be provided, allowing you to catch up on any missed content and ensure you have access to the materials covered during the session. DataMites aims to provide flexibility and support to accommodate any missed sessions and ensure a comprehensive learning experience.
Yes, DataMites provides the opportunity to attend a free demo class. This allows individuals to get a glimpse of the training program, its content, teaching methodology, and the overall learning experience. The demo class serves as an introductory session, helping potential participants make an informed decision before enrolling in the Artificial Intelligence course at DataMites.
DataMites has a dedicated Placement Assistance Team (PAT) that provides placement facilities to candidates who successfully complete the Artificial Intelligence course. The PAT offers support in various aspects of the job search process, including job connections, resume creation, conducting mock interviews, and facilitating discussions on interview questions. The aim is to assist participants in securing employment opportunities in the field of Artificial Intelligence by providing guidance and resources throughout the placement process.
The fee for the Artificial Intelligence Training program at DataMites in Dispur can vary depending on factors such as the specific course selected and the duration of the program. Generally, the fee for the Artificial Intelligence course in Dispur falls within the range of 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.