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)
AI is a field of study focused on creating intelligent machines that can mimic and replicate human cognitive abilities. These machines are designed to process information, recognize patterns, solve problems, and adapt to new situations, aiming to achieve human-level performance in specific tasks.
Pursuing a career as an AI engineer requires individuals to develop expertise in mathematics, computer science, and programming. They can achieve this through formal education or self-study, followed by specialized training in AI. Building a portfolio of AI projects and actively participating in AI communities and competitions can further enhance their credibility and job prospects.
Both AI and ML offer unique opportunities and challenges. AI provides a broader perspective, enabling the development of intelligent machines capable of simulating human intelligence. On the other hand, ML focuses on teaching machines to learn from data and make predictions. The choice between the two depends on personal interests and the specific industry or application one wishes to specialize in.
The career prospects for AI engineers are highly favorable in today's job market. As AI becomes increasingly integrated into various industries, the need for professionals who can design, develop, and deploy AI solutions is on the rise. AI engineers can find opportunities in industries such as healthcare, finance, e-commerce, and manufacturing, working on projects that push the boundaries of technology and making a significant impact on society.
Pursuing a formal education in AI or related fields is another pathway to start a career in artificial intelligence without prior experience. Enrolling in undergraduate or graduate programs specializing in AI provides a structured learning environment, access to research opportunities, and guidance from experienced faculty members.
Artificial intelligence encompasses a broader scope of developing machines that can exhibit intelligent behavior, which includes but is not limited to machine learning. Machine learning, in contrast, specifically deals with the development of algorithms and models that can learn from data and make predictions or decisions.
In the field of artificial intelligence, a robust educational background in computer science, AI, data science, or a related field is commonly sought after by employers. Having a bachelor's or master's degree in these areas can provide a strong foundation for a career in AI. Additionally, familiarity with programming languages, mathematics, and machine learning concepts is often considered beneficial for individuals aiming to excel in the field.
For individuals aspiring to acquire knowledge in Artificial Intelligence in Lucknow, there are specific prerequisites that are essential to meet.
Achieving mastery in Artificial Intelligence can be challenging because it requires a deep understanding of diverse topics, such as machine learning, deep learning, and natural language processing.
Integrating AI into various industries brings numerous advantages and benefits. AI can automate manual tasks, leading to increased efficiency and productivity. It enables advanced data analysis and predictive modeling, enhancing decision-making processes. AI-powered systems can provide personalized customer experiences, improving customer satisfaction. Industries can benefit from cost savings, improved safety measures, and the ability to uncover valuable insights from large datasets. Ultimately, AI integration drives innovation and competitive advantage across diverse sectors.
To prepare for AI job interviews and technical assessments, individuals should follow a comprehensive strategy. They can begin by reviewing fundamental AI concepts, algorithms, and technologies. It is crucial to practice coding and implementing AI models using popular programming languages like Python or R. Staying updated with the latest research papers and industry trends is important. Additionally, solving AI-related coding problems, participating in AI competitions, and gaining practical experience through internships or projects can greatly enhance their preparation. Finally, practicing mock interviews and improving communication skills will help effectively convey their thoughts and solutions during the interview process.
Participants in DataMites' AI Engineer Course in Lucknow can expect to gain comprehensive knowledge and skills in artificial intelligence. They will learn about various AI concepts, machine learning algorithms, deep learning architectures, natural language processing, computer vision, and AI model deployment techniques. Through practical hands-on projects and assignments, participants will develop proficiency in building and deploying AI models. Upon completion of the course, they will be equipped to pursue rewarding careers as AI engineers and contribute to the development of AI solutions in real-world scenarios.
The AI Expert Course offered by DataMites covers advanced topics and techniques in the field of Artificial Intelligence. Participants will delve deeper into advanced machine learning algorithms, deep learning architectures, natural language processing, computer vision, and AI model optimization. Through a combination of theoretical knowledge and practical implementation, participants will develop expertise in these areas. The course is designed to enhance their skills and prepare them to become proficient AI experts capable of tackling complex AI challenges and driving innovation in the field.
Obtaining certification in Artificial Intelligence in Lucknow holds significant importance as it validates individuals' knowledge and skills in the AI field. It enhances credibility, marketability, and demonstrates expertise to potential employers or clients. Certification serves as evidence of commitment to professional growth in the rapidly evolving field of AI.
DataMites stands out as the preferred choice for Artificial Intelligence courses in Lucknow due to several reasons. These include experienced trainers who are industry professionals, a comprehensive course curriculum covering various AI topics, practical hands-on learning approach, flexible scheduling, placement assistance, and the opportunity to obtain certifications upon completion of the training. DataMites prioritizes quality education, industry-relevant projects, and comprehensive student support.
DataMites offers a range of certifications in the field of Artificial Intelligence, including AI Engineer Certification, Certified NLP Expert Certification, AI Expert Certification, AI Foundation Certification, and AI for Managers Certification. These certifications validate individuals' proficiency and expertise in AI, enhancing their professional recognition.
The duration of DataMites' Artificial Intelligence course in Lucknow varies depending on the specific course chosen. It provides flexibility with durations ranging from one month to one year, accommodating different schedules and learning preferences of participants.
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 AI courses and training programs, pursue academic degrees or certifications in AI or related fields, attend workshops and seminars, and engage in practical projects to gain hands-on experience.
The objective of DataMites' AI Engineer Course in Lucknow is to provide individuals with comprehensive knowledge and skills to become proficient AI engineers. The course covers essential AI concepts, machine learning algorithms, deep learning techniques, natural language processing, computer vision, and AI model deployment. Participants gain practical experience by working on real-world projects.
To pursue a career as an AI engineer in Lucknow, individuals should build a strong foundation in mathematics, computer science, and programming. Enrolling in AI-related courses or training programs helps learn AI concepts, algorithms, and technologies. Gaining hands-on experience through projects, internships, participating in competitions, and staying updated with the latest advancements in the field are also beneficial.
DataMites' Placement Assistance Team provides support to students in various aspects of job placement. They assist in resume preparation, conduct mock interviews, offer guidance on interview techniques, and connect students with potential job opportunities in the field of Artificial Intelligence.
Yes, participants can avail help sessions offered by DataMites to enhance their understanding of the training topics. These sessions provide additional guidance, clarify doubts, and offer further explanations to ensure a comprehensive grasp of the course content.
The trainers providing instruction at DataMites are experienced industry professionals with expertise in the field of Artificial Intelligence. They bring practical knowledge and real-world insights to the training sessions, ensuring a high-quality learning experience for participants.
DataMites accepts various payment methods for its courses in Artificial Intelligence, including online payment options like credit/debit cards, net banking, and digital wallets. They may also provide options for bank transfers or offline payments at their training centers.
The Artificial Intelligence Training program in Lucknow at DataMites is priced between INR 60,795 and INR 154,000, depending on the specific course and program duration.
Yes, upon successfully completing a course with DataMites, participants can obtain a Course Completion Certificate. This certificate confirms their successful completion of the training program and can be a valuable addition to their professional credentials.
DataMites' Flexi-Pass feature in Lucknow offers participants the flexibility to attend training sessions at their convenience. It provides multiple batch options and allows individuals to choose a schedule that suits their availability and learning needs. This feature ensures a customized learning experience and accommodates individuals with varying commitments and preferences.
The specific documents required for the training session at DataMites may vary based on the course and program. Typically, participants are advised to carry a valid ID proof, such as a government-issued ID card, and any specific documents mentioned in the communication received from DataMites.
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.