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) is a branch of computer science that focuses on developing intelligent machines capable of performing tasks that typically require human intelligence. These tasks can include decision-making, problem-solving, natural language understanding, and visual perception.
Instances of artificial intelligence in everyday life include virtual assistants like Siri, Alexa, and Google Assistant that use voice recognition and natural language processing to provide information and perform tasks. Another example is personalized recommendations on streaming platforms and e-commerce websites that utilize AI algorithms to analyze user preferences and suggest relevant content or products.
Advantages of artificial intelligence include automation of repetitive tasks, improved efficiency and accuracy in data analysis, enhanced decision-making capabilities, and potential advancements in various industries such as healthcare and transportation. Disadvantages can include job displacement due to automation, ethical concerns regarding privacy and bias, and the potential for AI systems to make errors or be vulnerable to malicious attacks.
The educational requirements for a career in artificial intelligence typically involve a strong background in computer science, mathematics, or related fields. A bachelor's or master's degree in areas like computer science, AI, machine learning, or data science is often preferred. Knowledge of programming languages, algorithms, statistics, and machine learning concepts is also necessary.
Some top companies known for hiring professionals in artificial intelligence roles include tech giants like Google, Microsoft, Amazon, Facebook, IBM, Apple, and Tesla. However, there are also opportunities in various industries such as healthcare, finance, and manufacturing where companies are actively seeking AI talent.
Artificial intelligence is a broader concept that focuses on developing intelligent systems capable of simulating human-like intelligence. Machine learning is a subset of AI that involves algorithms and models that allow systems to learn and make predictions from data without being explicitly programmed. In other words, machine learning is a technique used to achieve AI.
The educational qualifications necessary for a career in artificial intelligence usually include a bachelor's or master's degree in computer science, AI, machine learning, or related fields. It is beneficial to have a strong foundation in programming languages such as Python or Java, understanding of algorithms, statistics, and knowledge of machine learning and deep learning concepts.
To start a career in artificial intelligence with no prior experience, one can begin by self-studying and taking online courses or tutorials in AI and machine learning. Building a portfolio of AI projects, participating in Kaggle competitions, and gaining practical experience through internships or freelance work can also be valuable. Networking with professionals in the field and joining AI communities can provide opportunities for mentorship and guidance.
The AI Expert Course in Guwahati is an advanced-level program that delves into advanced AI algorithms, cutting-edge research, emerging trends, and complex applications. It often includes specialized modules or tracks in areas such as deep learning, computer vision, natural language processing, or reinforcement learning. The course aims to enhance participants' expertise and prepare them for challenging AI projects and roles.
Transitioning into an artificial intelligence career from a different field can be achieved by gaining relevant skills and knowledge through self-study, online courses, or specialized AI training programs. Building a strong AI portfolio, participating in AI projects or competitions, and networking with professionals in the field can help make connections and open opportunities for career transition. It is also beneficial to leverage transferrable skills from the previous field and seek internships or entry-level positions in AI to gain practical experience and bridge the gap. Continuous learning and staying updated with the latest advancements in AI are essential forsuccessful transition into an artificial intelligence career from a different field.
The AI Engineer Course in Guwahati typically focuses on providing comprehensive training in various AI areas such as machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques. The ourse aims to develop practical skills through hands-on projects and case studies, enabling participants to build and deploy AI models for real-world applications.
DataMites offers the following certifications in the field of Artificial Intelligence in Guwahati:
The duration of the Artificial Intelligence course provided by DataMites in Guwahati may differ depending on the specific course selection. The course duration can range from one month to one year, allowing flexibility to cater to individual preferences and schedules. DataMites offers training sessions on both weekdays and weekends, ensuring that participants can choose a schedule that best suits their availability and learning needs.
Individuals can acquire knowledge in the field of Artificial Intelligence through various means, including self-study using online resources, textbooks, research papers, and tutorials. They can also enroll in online or classroom-based AI courses and training programs, pursue a degree or diploma program in AI or related fields, attend workshops, conferences, and industry events focused on AI, and engage in practical projects and competitions to gain hands-on experience.
The AI Engineer Course offered by DataMites in Guwahati aims to equip individuals with the skills and knowledge required 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. The objective 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 Guwahati offered by DataMites focuses on Natural Language Processing (NLP), which is 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 AI Foundation Course in Guwahati 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.
The topics covered in the Artificial Intelligence for Managers Course in Guwahati provided by DataMites include 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.
Eligibility criteria for enrolling in an Artificial Intelligence Certification Training in Guwahati may vary depending on the specific program and its prerequisites. Generally, individuals with a background in computer science, engineering, mathematics, or related fields are eligible to enroll.
DataMites is a preferred choice for Artificial Intelligence courses in Guwahati for several reasons. Some of the reasons include:
Expert Faculty: DataMites has a team of experienced instructors who are industry practitioners and subject matter experts in the field of Artificial Intelligence. They provide comprehensive guidance and mentorship throughout the training.
Practical Approach: The courses offered by DataMites have a strong focus on hands-on learning, allowing participants to gain practical experience by working on real-world projects and case studies. This practical approach enhances the learning experience and prepares individuals for real-world AI challenges.
Industry-Relevant Curriculum: DataMites designs its Artificial Intelligence courses in Guwahati based on industry requirements and emerging trends. The curriculum is regularly updated to incorporate the latest advancements in AI, ensuring that participants acquire skills that are in demand in the industry.
Placement Assistance: DataMites provides placement assistance to students enrolled in their Artificial Intelligence courses. The Placement Assistance Team offers support in job connections, resume creation, mock interviews, and interview question discussions to help students secure employment opportunities in the field of Artificial Intelligence.
Yes, DataMites provides Artificial Intelligence courses in Guwahati that include placement assistance. The Placement Assistance Team at DataMites offers services to support students in their job search, such as connecting them with relevant job opportunities, assisting in resume creation, conducting mock interviews, and providing guidance on interview questions. This placement assistance aims to facilitate the transition of students into successful AI careers.
DataMites offers Artificial Intelligence Courses in Guwahati, which provide placement assistance. The Placement Assistance Team at DataMites offers services such as job connections, resume creation, mock interviews, and interview question discussions to support students in securing employment opportunities in the field of Artificial Intelligence. It is recommended to visit the DataMites website or contact their support team for detailed information about the specific AI courses in Guwahati that include placement assistance and the extent of support provided.
The fee for the Artificial Intelligence Training program in Guwahati at DataMites may vary depending on factors such as the specific course chosen and the duration of the program. Generally, the fee for the artificial intelligence course in Guwahati 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.