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) refers to the field of computer science that focuses on creating intelligent machines capable of mimicking human intelligence, reasoning, and problem-solving.
AI is used in virtual assistants like Siri and Alexa, recommendation systems in e-commerce platforms, autonomous vehicles, fraud detection systems, and medical diagnosis systems.
Advantages of AI: Improved efficiency, enhanced decision-making, personalization, cost savings, and advanced data analysis.
Disadvantages of AI: Job displacement, ethical concerns, data privacy issues, and potential biases in algorithms.
A bachelor's or master's degree in computer science, data science, or a related field is typically required. Strong knowledge of mathematics, programming, and machine learning concepts is essential.
Top Companies Hiring for AI Roles: Google, Microsoft, Amazon, Facebook, IBM, Apple, and NVIDIA, as well as companies in healthcare, finance, automotive, and e-commerce sectors.
AI is a broader concept that focuses on creating intelligent machines, while machine learning is a subset of AI that involves training machines to learn from data and make predictions or decisions.
Gain foundational knowledge through online courses and tutorials, learn programming languages like Python, explore AI frameworks and tools, build a portfolio of AI projects, and consider internships or entry-level positions to gain practical experience.
An AI Engineer Course covers fundamental AI concepts, machine learning algorithms, deep learning, data preprocessing, model evaluation, and deployment. It focuses on developing practical skills in building AI models and applications.
The AI Expert Course delves deeper into advanced AI topics such as advanced machine learning techniques, neural networks, natural language processing, computer vision, and other specialized AI algorithms. It aims to develop expertise in specific AI domains.
Assess transferable skills, fill knowledge gaps through relevant courses, build a professional network, leverage existing experience, gain practical experience through projects, and stay updated on the latest AI developments.
AI is expected to create new job roles and transform existing ones. Demand for AI professionals like AI engineers, data scientists, and AI researchers is projected to grow, particularly in industries like healthcare, finance, cybersecurity, and autonomous systems.
Roles in AI Career: AI Engineer, Data Scientist, Machine Learning Engineer, AI Researcher, AI Consultant, and AI Project Manager are some of the job roles available in the AI field.
Having an AI certification in Panaji holds significance as it validates skills, improves job prospects, and shows dedication to professional growth. It establishes expertise and sets individuals apart in the competitive job market.
DataMites offers certifications from respected organizations like IABAC, JAINx, and NASSCOM FutureSkills Prime. These certifications validate skills and enhance credibility in the field of AI.
The duration of the Artificial Intelligence Course in Panaji varies depending on the specific course chosen, ranging from one month to one year. Flexible training options are available on weekdays and weekends.
Comprehensive Curriculum: DataMites offers well-designed courses that cover a wide range of AI concepts, techniques, and applications, ensuring a comprehensive learning experience.
Experienced Instructors: The courses are taught by experienced instructors who have expertise in the field of AI. They provide valuable insights, guidance, and support throughout the training.
Practical Approach: DataMites emphasizes a hands-on approach, enabling participants to gain practical experience through projects, case studies, and real-world applications of AI.
Flexibility: DataMites offers flexible learning options, including both online and classroom training, allowing participants to choose a mode that suits their schedule and preferences.
Placement Assistance: DataMites provides placement assistance to students, helping them connect with job opportunities in the field of AI. They offer support with resume building, interview preparation, and job connections.
Industry Recognition: DataMites' certifications are recognized and respected in the industry. They are affiliated with reputable organizations such as IABAC, JAINx, and NASSCOM FutureSkills Prime, adding credibility to the certifications.
Career Growth: DataMites' courses equip individuals with the necessary skills and knowledge to excel in AI careers. The practical training and industry-relevant curriculum enhance job prospects and career growth opportunities.
The AI Engineer Course at DataMites in Panaji aims to equip students with skills and knowledge required to become proficient AI engineers. It covers topics such as machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques.
The Certified NLP Expert course at DataMites in Panaji focuses on Natural Language Processing (NLP) skills and applications. It covers topics such as text preprocessing, sentiment analysis, named entity recognition, topic modeling, language generation, and neural network-based NLP models.
The AI for Managers Course at DataMites in Panaji covers AI basics, machine learning, deep learning, natural language processing, computer vision, AI implementation challenges, ethical considerations, and AI project management. It enables managers to make informed decisions regarding AI adoption and implementation.
The AI Foundation Course at DataMites in Panaji provides an introduction to AI concepts, machine learning, and deep learning. Topics include supervised and unsupervised learning, neural networks, deep learning algorithms, model evaluation, and deployment techniques.
DataMites is a preferred choice for Artificial Intelligence Courses in Panaji due to its comprehensive curriculum, hands-on approach, experienced instructors, flexibility of online or classroom training, and placement support.
The eligibility criteria for enrolling in an Artificial Intelligence Certification Training in Panaji may vary based on the specific course. Generally, anyone interested in pursuing a career in AI can enroll, regardless of their educational or professional background.
Yes, DataMites provides Artificial Intelligence Courses in Panaji that include placement assistance. Their Placement Assistance Team supports students with job connections, resume creation, mock interviews, and interview question discussions.
The Flexi-Pass feature offered by DataMites provides flexibility to learners in terms of course access and scheduling. With the Flexi-Pass, participants can attend classes for a duration of up to one year, allowing them to learn at their own pace and convenience. This feature enables learners to balance their professional and personal commitments while pursuing the course. It ensures that participants have ample time to complete the training and gain a thorough understanding of the course content.
The training at DataMites is delivered by experienced and highly qualified instructors who have expertise in the field of Artificial Intelligence and related domains. These trainers bring their industry experience and deep knowledge of AI concepts to provide comprehensive instruction. They are skilled at explaining complex topics, guiding participants through practical exercises, and addressing any queries or concerns.
The Placement Assistance Team at DataMites offers services such as job connections, resume creation, mock interviews, and interview question discussions to support students in their transition to AI careers. They provide guidance and resources to enhance job prospects and assist in securing suitable positions in the field of Artificial Intelligence.
The fee for the Artificial Intelligence Training program at DataMites in can vary based on factors such as the specific course chosen and the duration of the program. Generally, the fee for the Artificial Intelligence course in ranges from INR 60,795 to INR 154,000. The exact fee structure can be obtained from DataMites based on the specific course and its offerings.
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.