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Artificial Intelligence Course in Kashipur

Artificial Intelligence Certification Course

DigiStackEdu's cutting-edge Artificial Intelligence Course in Kashipur is here to unlock the potential of tomorrow's technology today.Welcome to the gateway of transformative learning and boundless opportunities in the field of Artificial Intelligence and machine learning.

With a well educated faculty, and hands-on projects, Artificial Intelligence Certificate Courses in Kashipur stands as a source of knowledge, guiding students towards becoming expert in the ever-evolving field of artificial intelligence.this course has become a go-to destination for aspiring AI enthusiasts looking to upgrade their skillset in Artificial Intelligence in Kashipur.

Human intellect and technological advancement has resulted in ground-breaking innovations that were once only dreams. If you want to be at the forefront of this AI revolution and exploit its limitless potential, go no further than DigiStackEdu's well designed Artificial Intelligence Course Syllabus.

At DigiStackEdu, we believe that education is the key to unlocking these boundless prospects. Our well designed Artificial Intelligence Course will help you to increase knowledge, skills, and confidence in AI field.it's time to update your skills in the latest AI tools and technologies,and become a master in the filed of Artificial Intelligence.

Artificial Intelligence is a field of research and predictive modeling where companies fetch the data from various sources and feed it on Artificial Models for Predictive analysis.

Artificial Intelligence experts build different types of predictive models using this data sometimes they use advanced machine learning models such as Neural Networks for solid predictions.

This course build a solid skills in Neural Network,Image Processing, Data Manipulation, Data Analysis,Speech Based Systems, and Python programming.

Why you should learn Artificial Intelligence course in Kashipur

  • Artificial Intelligence is the most demanding field.
  • Students are getting high salaries after completing an Artificial Intelligence Course.
  • After completion of Artificial Intelligence Course you can Top-Level IT Companies.
  • Artificial Intelligence is easy to lean and Understand.
  • Healthcare industry, Medical practitioners use Artificial Intelligence to analyze information and make critical decisions.
  • Artificial Intelligence Experts are in High Demand
  • You can work as an AI Manager,AI EngineerR,AI Researcher, Data Scientist, AI Project Designer, AI Architect, AI Analyst, Software Engineer and Machine Learning Engineer

Digistackedu is a well-known training institute , we provide training in pan India, we believe in Job-Oriented and Practical Oriented Training and today we are connected with more than 300+ live students and professionals who are working in top-level IT organizations such as TCS, Wipro, IBM, and Tech Mahinda, HCL-Technologies, etc. our students work on real-time projects so that they can clear job interviews, our trainers help and motivate students to upgrade their technical skills.

Artificial Intelligence Certification Course in Kashipur

Our AI course is carefully desigend with the latest industry trends and advancements. Starting from the basics of AI and machine learning, you'll dive into advanced topics such as natural language processing, computer vision, neural networks, and much more. Through engaging workshops and classes, interactive sessions, and case studies, we ensure you stay at the cutting edge of AI innovation, equipped with the knowledge required to make a meaningful impact in any industry.

At DigiStackEdu, we understand that theory alone isn't enough to be master in Artificial Intelligence. Therefore, we offer a hands-on approach that empowers you to work on real-world AI projects. Under the guidance of our expert and mentors, you'll work on the latest AI tools and technologies, grasping concepts through practical application. This experiential learning allows you to bridge the gap between theory and implementation, preparing you to tackle real challenges with ease.

Data Science and Machine Learning Course in Kashipur

Machine Learning is a sub-domain of data science and artificial intelligence,Learning AI isn't just about attending lectures, it's about being part of a great innovative community. At DigiStackEdu, you'll join a network of learners, where you can exchange ideas, discuss challenges, and celebrate achievements together.we cover all the required topics of machine learning such as Regression, Decision Tree, Random Forest, KNN, Support Vector Machine and many more. these practical topics help students understand how professionals work in the data science field.

Data Science, Machine Learning and artificial intelligence Course in Kashipur helps students to make their career in Artificial Intelligence, Today we are connected with many students from Kashipur and nearby locations. this is a fully practical-oriented program where we will start the practical sessions from day one. we will start this course with a python programming language and you will learn how python help in Data analysis.

Artificial Intelligence Course Requirements

Proficiency in programming languages is a fundamental requirement for Artificial Intelligenc professionals. Python stands out as a preferred language for Artificial Intelligence development, thanks to its extensive libraries like TensorFlow and PyTorch, simplifying the implementation of complex AI algorithms. Familiarize yourself with other languages like Java, C++, or R, depending on the specific AI domain you choose.

Theoretical knowledge is essential, but practical experience is equally vital in establishing an AI career. Engage in AI-related internships, participate in open-source projects, and collaborate with AI communities to gain hands-on experience. Building AI projects on your own, such as developing a chatbot, image recognition system, or recommendation engine, can significantly bolster your portfolio.

Artificial Intelligence Online Certification

Unlock the limitless possibilities of the future with the Artificial Intelligence Online Certification Course at DigiStackEdu! Harness the convenience of online learning while diving deep into the world of AI from the comfort of your own space. Our thoughtfully crafted curriculum, led by industry-leading experts, will immerse you in the realms of machine learning, neural networks, and natural language processing.

Through hands-on projects and interactive modules, you'll gain practical experience that sets you apart in the competitive tech landscape. Whether you're a busy professional or a curious beginner, our flexible online platform ensures you can master AI at your own pace. Join the ranks of AI innovators and pioneers today – enroll with DigiStackEdu and become a certified AI expert primed to shape the digital future!

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Call us for a Free Demo Sesison with the best industry expert, we will help to clear your all dobubts.
Phone Number: +91 6397-123-682
Email : info@digistackedu

Artificial Intelligence Course Syllabus

Module 1: Python programming for data analysis

  1. Introduction to python.
  2. Variables,data type and operators in python.
  3. Type casting and user input.
  4. Basic Problem solving skills in python.
  5. Working on Python List with its predefined functions.
  6. Working on Python Tuples with its predefined functions.
  7. Python loop control structure-for loop and while loop
  8. Python If-Else Staements with nesting
  9. Learning python Sets
  10. Python Dictionary a practical implementation.
  11. Block Oriented Programming using Python (Functions).
  12. Python Object Oriented Programming.
  13. Inheritance in Python.
  14. File handling using Python.
  1. Introduction to Numpy.
  2. Working on NumPy Array.
  3. Arithmetic Operators on Numpy Array.
  4. Inspecting NumPy Array.
  5. Subsetting, Slicing, Indexing on Numpy.
  6. Manipulation on Numpy Array.
  7. Stacking and Splitting Numpy Array.
  8. Aggregate Functions on Numpy Array.
  9. Copying and Sorting Numpy Array.
  10. Introduction to Pandas
  11. Creating DataFrames using Pandas
  12. Reshaping Data – Changing the layout of a data set
  13. Handling Missing values using Pandas
  14. Combining Data Sets using Pandas
  15. Grouping Data uisng Pandas and Pivot Table.
  16. Applying functions on Pandas Data Frame
  17. Plotting Time Series using Pandas
  1. Introduction to Matplotlib
  2. Matplotlib basic plotting and containers.
  3. Working on size of figures and subplots.
  4. Histograms and bar chart using Matplotlib.
  5. Time Series chart using Matplotlib.
  6. Working on Correlation chart or heatmap.
  7. Stacking and Splitting Numpy Array.
  8. Setting up Plot Title,Legend and Axes levels.
  9. Copying and Sorting Numpy Array.
  10. Linear Regression line using Matplotlib.
  11. Creating DataFrames using Pandas
  12. Joining Matplotlib and Seaborn.
  1. Introduction to Statistics
  2. Arithmetic Mean,Median and Mode.
  3. Variance and standard deviation using Excel.
  4. Discriptive Stats using Excel.
  5. Probability distribution Concept.
  6. Continuous Vs Discrete probability distribution.
  7. Understanding normal distribution Central limit theorem.
  8. Inferential Statistics-An Introduction to Hypothesis testing.
  9. Z and t Test using python.
  10. ANOVA and CHI square Test Examples.
  11. Pivot Table Concept in Excel.
  12. Correlation and Co-Variance Concept.
  13. Introduction to Box Plot and its Python Implementation.
  1. An Introduction to Machine Learning.
  2. Supervised vs unsupervised Machine Learning.
  3. Data Preprocessing and cleaning techniques.
  4. Regression techniques - Linear,multiple and polynomial regression.
  5. Machine learning model cost functions.
  6. An Introduction to classification.
  7. Underfitting and overfitting in Machine Learning.
  8. Understanding Confusion Matrix and Roc Curve.
  9. Building First Classification Model.
  10. Logistic Regression and its deep Background.
  11. Building Decision Tree Model.
  12. Ensemble Learning Techniques.
  13. Understanding Random Forest.
  14. Understanding gradient boosted trees.
  15. Naive Bayes for classification.
  16. KNN - K Nearest Neighbour.
  17. Support Vector Machine and its background.
  18. Advance Regression technique-Ridge and Lasso
  1. An Introduction to Clustering.
  2. K-Mean Clustering Machine Learning.
  3. Hierarchical clustering in machine learning.
  4. Agglomerative hierarchical clustering in python
  5. Calculating cost of a cluster.
  6. Finding the Best Value of K.
  7. Understanding dendrogram for Cluster Visualization.
  8. Linkage algorithm in clustering
  1. An Introduction to Project Development.
  2. Project Assignments.
  3. Task Allocation and Project guidance.
  4. Final Project Submission.
  1. An Introduction to Machine Learning.
  2. Regression vs Classification.
  3. Creating Linear Regression Model .
  4. Creating Logistic Regression Model.
  5. Gradient Decent Algorithm for AI.
  6. Building a Model for Classification.
  7. Evaluting Machine Learning Model Performence.
  1. Introduction to Natural Language Processing.
  2. Working in text.
  3. Word Tokenization in NLP
  4. Text cleaning and transforming
  5. NLTK POS Tagging
  6. NLTK Stemming and Lemmatization
  7. Count Vector for NLP
  8. Latent Semantic Analysis in Python.
  9. Learning TIDIF Vectors in NLP.
  10. Spam Detection using NLP.
  1. An introduction to Neural Network
  2. Understanding working of Neuron
  3. Setting Enviornment for AI.
  4. Working on Convolutional Neural Network.
  5. Understanding Forward Propagation
  6. Feed Forward Artificial Neural Network
  7. Regression using ANN
  8. Activation Functions.
  9. Backpropagation in Neural Network.
  10. Understanding Basics of Tensorflow.
  11. Designing a First Neural Network using Tensorflow.
  12. Working on Layers of Neural Network using Tensorflow.
  13. Image Recognition using Tensorflow.
  14. Working on Recurrent Neural Network using Tensorflow.
  15. RNN for Classification.
  16. CNN for Text Classification.
  1. An Introduction to Reinforcement Learning.
  2. Understanding Agent and Enviornment.
  3. Working on actions in RL.
  4. Designing auto-driver car in AI.
  5. Essential Libraries for RL.
  1. An Introduction to OpenCv.
  2. Installation of OpenCv.
  3. Read and Write Images using OpenCv.
  4. Working on Camera Parameters.
  5. Handling Mouse events using OpenCv.
  6. Image Smoothing and Blending.
  7. Working on Gradients and Edges.
  1. An Introduction to Project Development.
  2. Project Assignments.
  3. Task Allocation and Project guidance.
  4. Final Project Submission.
  1. Introduction to Tableau and Data Visulization.
  2. Tableau architecture.
  3. Intsallation of Tableau Desktop.
  4. Understanding Tableau Interface.
  5. Role of Tableau in Data Science.
  6. Introduction to different types of graphs.
  7. Understanding Tableau Show Me Tab.
  1. Introduction to MySQL.
  2. Understading Tableau Toolbars,Data Pane and Analytics
  3. Tableau and RDBMS connections
  4. Working with Csv file.
  5. Tableau and Excel Connection.
  6. Understanding Tableau Data Source.
  7. Introduction to JSON Files.
  8. Working with JSON file Using Tableau.
  1. Introdutcion to Tableau Fields.
  2. Categorical vs Numerical Columns.
  3. Conversion of fields in Tableau.
  4. Working on Histograms and bar chart.
  5. Working on Time Series chart.
  6. Working on Box Plot in Tableau.
  7. Drawing Pie Chart in Tableau.
  8. Real Time Example of Bubble Chart.
  9. Drawing Scatter Diagram.
  1. An Introduction to World Map.
  2. Loading Files for Tableau Map.
  3. Understanding the role of lattitude and longitude
  4. Drawing Map and Showing sales in different contries.
  5. Working on Tableau Filter
  6. Applying filters to all Sheets
  7. Removing filters.
  8. Handling Missing Values in Tableau.
  1. Setting levels on Map
  2. Setting levels on barchat and Pie Chart
  3. Setting levels on Bubble Chart
  4. Advance Color Options in Tableau.
  5. Setting color Scale on Different Graphs.
  6. An Introduction to classification.
  7. Working on multiple chart.
  8. Working on Fonts.
  9. Showing level based on percentage.
  1. An Introduction to Data Manipulation.
  2. Creating bins of numerical fields.
  3. Sorting Columns and fetching top 10 bins.
  4. Sorting Columns and fetching bottom 10 bins.
  5. Creating a cluster.
  1. An Introduction to Data Anlytics.
  2. Understading Basics of statistics.
  3. Working on box plot with medain value.
  4. Linear and Polynomial Regression in Tableau.
  1. An Introduction to Tableau Dashboard.
  2. Dashboard Layouts and Formatting
  3. Creating Intractive Tableau Dashboard.
  4. Working on legends, objects, and filters
  5. Working on slider in Tablesu Dashboard
  1. Introduction to SQL.
  2. Structure of RDBMS.
  3. Introduction to databases.
  4. What is a Tables and its Structure.
  5. Understding Table Fields.
  6. What is Primary Key.
  1. Installation of MySQL
  2. Setting a password for SQL.
  3. Setting port number 3306.
  4. Understanding SQL Command Line Promt.
  5. Understanding the Layout of GUI mode.
  6. Creating first Database.
  7. Creating First Table.
  1. Introduction to SQL Query
  2. Inserting records into SQL Table.
  3. Updating records of SQL Table.
  4. Deleting records From SQL Table.
  5. Fetching records From SQL Table.
  6. Select Operation with where clasue.
  7. Select with In and Not-In Operators.
  8. Selecting different pattern.
  9. Select Operation with Like and Not Like.
  10. Select Operation with Regular Expression.
  11. Select Operation with Limit.
  1. Introduction to GroupBy Query
  2. Understanding GroupBy and Count.
  3. Working on GroupBy on differentn data set.
  4. Working on OrderBy on differentn data set.
  5. Working on Nested Queries
  6. Nested Queries with GroupBy.
  7. Nested Queries with OrderBy.
  8. Having Keyword in SQL.
  1. An Introduction to Join.
  2. Types of Joins in SQL
  3. Left Outer Join in SQL
  4. Right Outer Join in SQL.
  5. Inner Join in SQL.
  6. Full Outer Join in SQL.
  7. Union Opertion in SQL.
  1. An Introduction to Keys.
  2. Designing Table with Primary Key.
  3. Designing Table with Foreign Key.
  4. Designing Table with Auto increment Columns.
  5. Describing Table Structure.
  1. An Introduction to Constraints.
  2. Applyting Check Constraints on Columns.
  3. Logical Operatior and Check Constraints.
  4. Testing Constraints on Table.
  1. An Introduction to Views.
  2. Creating a Simple View.
  3. SQL View of GroupBy Query.
  4. SQL View of Join Query.
  5. SQL View of Nested Query.
  6. Updating Views in SQL.
data science training institute in Kashipur

Data Science Training Institute in Kashipur

Digistackedu trained students and professionals in pan India and also offers online data science course training in Kashipur, our data science training encourages students to complete multiple projects related to python, machine learning, SQL, and Tableau and here they understand how professionals work in the real industry.
Artficial Intelligence Training in Kashipur

Artificial Intelligence Training in Kashipur

We also offer Artificial Intelligence Training in Kashipur where our students work on data analytics and artificial models such as Neural Networks, Image processing, and speech recognition systems, this program is designed to upgrade student skills in AI and automation system design.
Artificial Intelligence with Python Training in Kashipur

AI Using Python Training in Kashipur

Python course training is also included in the Data Science and Artificial Intelligence course, In this training program, we cover python core programming concepts such as loop, if-else, dictionary, sets, functions,classes, objects, inheritance, numerical python and database connectivity. this training program is designed to upgrade skills in python and Artificial Intelligence.
Machine Learning Training in Kashipur

Machine Learning Training in Kashipur

Machine Learning and python language being used for data analytics and Artificial Intelligence, we also offer online/offline Machine Learning Training Training in Kashipur, in this module our students analyze different varieties of data using Python programming Concepts such as NumPy and DataFrame to develop machine learning models on these data sets.
Artificial Intelligence Classes in Kashipur

Artificial Intelligence Classes in Kashipur

Digistackeu Offer Artificial Intelligence Classes in Kashipur,Learn how to develop AI Models using python and Upgrade your skills in AI Technology,AI can boost your career and it's time to switch your career in the lastest tools and technologies.
Artificial Intelligence Institute Near Kashipur

Artificial Intelligence Institute Near Kashipur

Artificial Intelligence Training in Kashipur can be beneficial for you as many students and professionals joining top-level IT companies for the role of Artificial Intelligence Engineers, AI experts, and data scientist and there is a huge requirement for experts who can work on the latest Artificial Intelligence Models such as ANN, CNN and RNN.
Artificial Intelligence Project Training in Kashipur

Artificial Intelligence Project Training in Kashipur

Artificial Intelligence projects are really essential to get a job, Our Artificial Intelligence program offers to develop more than five real-time Artificial Intelligence projects using Machine Learning, python programming and Neural Networks,our students build predictive models for the client data and finally deploy projects on servers.

Career in Artificial Intelligence

Artificial Intelligence Career

AI Career in Game Development

Artificial Intelligence is a growing field where every day new advances are being made and AI based games are being developed by companies, You can join the world's best MNCs and look up positions as a Artificial Intelligence Engineer. to start your journey as a AI Expert you need the right qualifications to begin and from a career perspective completing a Artificial Intelligence.

Career in Artificial Intelligence

Artificial Intelligence Career in Development.

Everyone knows the future of Artificial intelligence, Many companies are working on AI models for better performance, eveyone knows about chatGPT, AI is also being used in Data Analytics, Data Processing, and System automation, and we offer an online AI course training that can boost your Career in Artificial Intelligence.

Career in Data Reporting

AI Career in Data Science & ML

To be a Data Analyst data fetching, data reporting, data querying, data manipulation, statistics cleaning, and facts visualization skills are required and these are some basic duties for a data analyst. a data analyst creates reports using the latest tools such as tableau, after completion of the data science course you can go for this job.

AI Engineer Career

Artificial Intelligence in Robotics engineers

Robotics engineers design and develop robotic systems that can perform tasks autonomously or under human control, spanning areas from industrial automation to healthcare robotics.

Natural Language Processing Engineer

Natural Language Processing Engineer

NLP engineers focus on developing algorithms and systems that allow computers to understand, process, and generate human language, enabling applications like chatbots, language translation, and sentiment analysis.

Data Science Career in Pythonr

AI Career in Python Programming

Python programming is a high-level and the most demanding programming language. The reputation of python programming has accelerated unexpectedly in the previous few years. Major Internet and IT companies like TCS, Yahoo, Google, Wipro, Facebook, Nokia, NASA, and many others most important market gamers use Python programming for atrificial Intelligence.

Student Reviews

Our Student reviews after completion of this course.

Frequently Asked Questions

Yes, you will get industry valid certificate after completeion of this course and you will be tagged as a AI Expert.
Yes, You can pay your fee in two installments but it depands on the course you selected.
Yes, You can join AI online course even if you do not belong from computer science background. Our experts will help you to upgarde your technical skills, you just need some basic computer skills for this course.
This course is 100% practical oriented, you will work on Machine Learning Models,Tensorflow and Neural Networks to design Artificial Models moreover,after completetion of this course you'll be able to work on python and advance level AI concepts.

DigiStackEdu provide cost effective and quality training,We focus on every student and we understand the value of money.Our Trainers are certified and having more than 10+ years of experience in Digital Marketing, Data Science, Java Programming, Web Designing, Big Data and Data Analytics moreover,We have Trained 47,000+ students and professionals who are working in top level IT companies.

Cutting-Edge Learning Technology:DigiStackedu might offer access to advanced digital tools and platforms that enhance the learning experience, including interactive simulations, virtual labs, and AI-driven personalized learning paths.

Flexible Learning: Online platforms often provide flexibility in terms of when and where students can access learning materials, allowing them to balance their studies with other commitments like part-time jobs or extracurricular activities.

Wide Range of Courses: If DigiStackedu offers a diverse range of courses, students can explore various subjects beyond their core curriculum, enabling them to broaden their skill set and knowledge base.

Individualized Learning: Personalized learning journeys tailored to each student's strengths, weaknesses, and pace can help students grasp concepts more effectively, making the learning process more efficient and engaging.

Skill Development: DigiStackEU might focus on developing practical skills that are relevant to real-world job requirements, helping students become job-ready upon completion of their courses.

Cost-Effective: Online programs are often more affordable than traditional education options, making quality education accessible to a wider range of students.

Career Advancement: If DigiStackedu provides career services such as resume building, interview preparation, and job placement assistance, students could benefit from improved career prospects.

Continual Learning: Lifelong learning is becoming increasingly important due to the fast-paced nature of industries and technological advancements. DigiStackEU might provide opportunities for ongoing education to keep students updated with the latest trends.

Expert Instructors: High-quality online programs often feature instructors who are experts in their fields, offering students valuable insights and knowledge.

Access to Resources: Online platforms often provide a well structured resources, such as e-books, videos, articles, and forums, enriching the learning experience.

Feedback and Assessment:Instant feedback on quizzes, assignments, and assessments can help students track their progress and identify areas that require improvement.

DigiStackEdu only provide internship in Data Science, Digital Marketing, Java Programming, PHP programming and Web Development.For more details please contact to our support team.

Artificial Intelligence is a revolutionary filed, changing world and providing a lot of job opportunties for students and professionals.This is the new era where professionals are making smart cars, smart house,smart bots and smart games.

Advanced machine learning techniques: As AI advances, more advanced machine learning techniques like deep learning and reinforcement learning will enable machines to perform tasks with greater precision and efficiency.

AI in Manufacturing:AI-powered automation and predictive maintenance can help industries like manufacturing by optimizing production processes, minimizing downtime, and improving overall efficiency. body.

Personalized learning:AI will transform education by personalizing the learning experience to the needs of each student, varying content and speed to maximize comprehension and retention.

AI and climate change:Artificial intelligence can be used to model and predict the impacts of climate change, optimize resource use, and discover long-term solutions to problems. environmental topic.

Robot integration: AI-based robots will find more applications in industries such as logistics, healthcare, and agriculture, performing tasks that are hazardous, repetitive, or require a high degree of accuracy. high precision.

AI-based personal assistant: AI-based virtual assistants will become more sophisticated, proactively assisting in task management, schedule and providing relevant information to users.

You can submit your fee after 3 classes, Even after that if you face any issue with in the next 7 days then you can contect to our support team for the return.
This couse is designed to upgrade your skills in Artificial Intelligence and this is the field under development,Companies introducing latest tools and technologies for AI and it might take approx 3 month to understand the conecpt of Artificial Intelligence.