AI-Powered Data Science & Machine Learning Program with Generative AI
- Description
AI-Powered Data Science & Machine Learning Program with Generative AI – Overview
AI-Powered Data Science & Machine Learning Program with Generative AI – Outcome
- Develop hands-on experience in data analysis, data cleaning, and visualization using tools such as Python, NumPy, Pandas, Matplotlib, and Seaborn.
- Learn to build and evaluate machine learning models using algorithms like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Support Vector Machines.
- Understand key concepts of Deep Learning, Natural Language Processing (NLP), and Computer Vision to build intelligent AI applications.
- Explore modern Generative AI technologies, including Large Language Models (LLMs), prompt engineering, embeddings, and Retrieval Augmented Generation (RAG).
- Gain practical experience through real-world projects such as predictive analytics, customer segmentation, AI chatbots, and intelligent data applications.
- Gain practical experience through real-world projects such as predictive analytics, customer segmentation, AI chatbots, and intelligent data applications.
Manual Software Testing Tools
AI-Powered Data Science & Machine Learning Program with Generative AI Testing Course Features
- Comprehensive Curriculum
- Expert Instructors
- Interactive Learning
- Weekly Tests
- Feedback and Assessment
- Real time Projects
- Continuous Support
- ISO Certification
- Mock Interview
- Unlimited Placement Support
Manual Software Testing Course Syllabus
Introduction about Software Testing
Why is software testing required in the IT industry?
What are B2B and B2C applications?
What are service based and product based companies?
What is manual testing?
What is Automation Testing?
What is SDLC? What is the need of it? What will happen if we don’t follow it?
What are the 7 stages of SDLC?
What is the Waterfall model?
What is V & V model?
What is a prototype model?
What is Black Box Testing?
What is Component testing?
What does the test case template look like?
How to write scenarios and test cases?
Difference between test scenarios and test cases?
Things to keep in mind before writing test cases?
Test Case Design techniques?
What is Positive testing?
What is Negative testing?
What is the Test Case review process?
What is Integration testing?
How to write integration test cases?
What is system testing?
What do you mean by a testing server similar to the production server?
What is Acceptance testing?
What are the other names of Acceptance testing?
What are the different ways to do acceptance testing?
What is Regression testing?
Types of Regression testing?
Impact Analysis meeting?
What is Smoke testing?
What is Hot Fix? Incident Management?
What are the 7 principles of software testing?
What is Defect Cascading?
What is Defect Masking?
What is Defect clustering?
What is bug release?
What is bug leakage?
What is Agile?
What is product Backlog?
What is a sprint?
What is sprint planning?
What is Epic?
What is the story point?
What is a Scrum meeting?/Daily standup meeting
What is a bug bucket?
What is a bug triage meeting?
Who is scrum master?
What is a sprint retrospective meeting?
What is performance testing?
What are performance testing types?
What is compatibility testing?
What is exploratory testing?
What is Recovery testing?
What is reliable testing?
What is Functional and non functional testing?
What is static and dynamic testing?
Smoke testing vs Sanity testing?
What is build?
What is STLC?
What is the Bug Life cycle?
What is the test plan?
What is Patch?
What is a Web Application?
What are Client Server Applications?
What are Stand Alone Applications?
What is Usability Testing?
API Testing syllabus
What is API?
What is API Testing?
Why is an API needed?
How does API play an important role in 2 diff applications?
Why do we need a Postman?
What is a Postman tool?
3 layer architecture of API
What is the relationship between client and server?
What all things your request should consist of?
HTTP methods available in API
HTTP status code in API
Introduction to Database-use cases
• What Is a Database?
• Why do we need Database?
• Practical examples of Database?
• What is SQL?
• What is a Database Management System (DBMS)?
• What is a Relational Model ?
• Introduction to RDBMS
Data Integrity-web
• What is data integrity?
• What is the use of data integrity
• What are Data Types ?
• What are Constraints?
1. Not Null
2. Primary Key
3. Foreign Key
4. Check
5. Unique
Statements in SQL
• Data Definition Language (DDL)
• Data Manipulation Language (DML)
• Transaction Control Language (TCL)
• Data Control Language (DCL)
• Data Query Language (DQL)
Software mysql server installation
• Installing and set up of software
• We will be working on mysql server
When to use following
• From
• Where
• Group By
• Having
• Order By
Operators
• Comparison operators
• Logical operators
• Special operators
Functions in SQL
Max ()
Min ()
Sum ()
Avg ()
Count ()
upper()
lower()
rank()
dense_rank()
Sub Query
• Introduction to Sub Query
• Problems on subquery
• Query Writing and Execution on DBMS practical class
JOINS
• What Is Join?
• Types of Joins.
• Cross join Join
• Inner Join syntax and queries in DBMS
• Outer Join syntax and queries in DBMS
• Self-Join syntax and queries in DBMS
• Left Outer Join syntax and queries in DBMS
• Right Outer Join syntax and queries in DBMS
• How to join 2 tables and 3 tables?
• Queries and Examples.
Data Definition Language (DDL)
• Create
• Rename
• Alter
• Truncate
• Drop
11 Data Manipulation Language (DML)
• Insert
• Update
• Delete
12 Transaction Control Language (TCL)
• Commit
• Save point
• Rollback
13 Data Control Language (DCL)
• Grant
• Revoke
Normalization
• Introduction to Normalization
• Types of Normal Forms
• Examples.
Difference between SQL and MYSQL
Resume preparation and Points to be mentioned in the ResumeSQL Syllabus:
- Students or recent graduates aspiring to start a career in Data Science or AI.
- Working professionals looking to upskill or transition into data science and AI roles.
- Software developers wanting to expand their skills in machine learning and AI.
- Data analysts aiming to advance their careers with machine learning expertise.
- Non-IT professionals planning to switch their careers to data science or AI.
- Tech enthusiasts or entrepreneurs interested in building AI-powered applications.
AI-Powered Data Science and Machine Learning involve using data, algorithms, and artificial intelligence techniques to analyze information, identify patterns, and build predictive models. It combines programming, statistics, and machine learning to develop intelligent systems that can learn from data. Generative AI further enhances this by enabling machines to create content such as text, images, and insights using large language models. These technologies are widely used in industries to automate processes, improve decision-making, and build smart applications.
AI-powered data science helps organizations transform raw data into meaningful insights that support better business decisions. Machine learning models can predict trends, automate tasks, and uncover hidden patterns in large datasets. With the addition of Generative AI, businesses can build intelligent assistants, chatbots, and content-generation tools. These technologies improve efficiency, innovation, and competitiveness across industries.
This course is designed for students, recent graduates, and professionals who want to build careers in data science, machine learning, and artificial intelligence. It is suitable for software developers, data analysts, and IT professionals who want to expand their skills in AI technologies. The program is also ideal for beginners and career switchers who want to enter the rapidly growing field of data science and generative AI. Learners will gain practical skills through hands-on projects and real-world tools.
Yes, AI-powered Data Science and Machine Learning are among the most in-demand careers in today’s technology-driven world. As organizations increasingly rely on data to make strategic decisions, skilled professionals who can analyze data, build machine learning models, and develop AI-powered solutions are highly valued. With the rapid growth of Generative AI and Large Language Models, career opportunities in AI are expanding across industries such as healthcare, finance, e-commerce, and technology.
If you want to start a career in Data Science and Artificial Intelligence, our AI-Powered Data Science & Machine Learning Program with Generative AI is the perfect place to begin. At GrotechMinds, we provide comprehensive training designed to equip you with the practical skills and knowledge required to succeed in the AI and data science industry. Our program covers everything from fundamentals to advanced AI techniques and is guided by industry experts with real-world experience.
There are no strict prerequisites for enrolling in the AI-Powered Data Science & Machine Learning Program with Generative AI. This course is open to anyone interested in building a career in data science, machine learning, or artificial intelligence. Whether you are a student, recent graduate, working professional, or someone planning to switch careers into the tech industry, you can enroll in this program. Even beginners with basic computer knowledge can start learning and gradually develop the skills needed to succeed in the field of data science and AI.
You don’t have to know how to code before taking the GroTechMinds AI-Powered Data Science & Machine Learning Program with Generative AI course. This program is designed for learners with different levels of technical knowledge, even if you have no prior coding experience. At GroTechMinds, we start with the fundamentals of Python programming and gradually introduce advanced topics such as machine learning and generative AI. Whether you’re new to technology or looking to build AI skills, you can confidently join this course and begin your learning journey.
Manual testing with APIs and SQL involves several key components, and every component plays a critical role in the testing process. Here are some important components like the test plan and test strategy, test cases and scenarios, test data, test environment, test execution, test validation, defect reporting, regression testing, performance testing, security testing, documentation review, usability testing, test reports and documentation, test closure, feedback, and continuous improvement. With GroTechMinds, you can master these concepts and become proficient in the field of manual testing.
Learning with practical experience and hands-on practice is essential for becoming proficient in manual testing with APIs and SQL. The more you practice, the more confident and skilled you will become in testing these critical components of software applications. In GroTechMinds, we focus completely on real-tech education, which means we built our course in the way of learning with real-time projects, which gives a real-life work experience while learning the course.
Manual testing with APIs and SQL often involves using various tools to facilitate the testing process, such as My SQL, Jira, Postman, Json Viewer, and Compatibility. These are the tools that are most in demand in the manual testing industry. With GroTechMinds, you can master these tools and become a pro at using them in your manual testing career.
GrotechMinds offers an additional mentorship programme for each degree. This mentorship is designed to improve our students’ learning processes by providing a deeper knowledge of each course’s ideas.
Our dedicated mentors play an important role in supporting students in achieving successful learning. They provide important help and guidance, particularly when working on real-time projects and answering any issues or queries about the course. With this mentorship, our students have the opportunity to receive personalised assistance, making their learning journey even more effective and rewarding.
Yes, you may enrol in our Manual Testing with APIs and SQL course online. You can easily register for the course on the GrotechMinds website. To begin, simply visit our website, examine the Online Manual Testing Course, and complete the simple enrollment process. Begin your study journey with ease and comfort.
With GrotechMinds, you’re not just learning valuable skills; you’re also gaining a strong support system to launch your career in software testing with confidence. At GrotechMinds, our placement assistance includes a dedicated support team for students. Our team assists with resume building, mock interview preparation, and job search support. We provide continuous support throughout this process.
At GroTechMinds, learning manual testing with API and SQL through real-time projects with industry experts is one of the most effective ways to master manual testing with API and SQL. As part of our course features, we’ve included assessments and practical examinations to ensure a comprehensive learning experience.
Upon enrolling in our course, students are required to attend all classes and successfully complete the assessments. Additionally, students must participate in the CrossKT session, which provides an opportunity for in-depth discussions about manual testing with our experienced trainers. We prioritise hands-on learning and active engagement to help our students excel in the field of software testing.”
To become a market-ready tester, students should complete 3 months and 15 days of the time period. This time duration is where we are focusing completely on real-time learning. During this time period, students should attend classes and complete assignments. Then it is mandatory to do the real project assignments, which are helpful in building a resume and getting a job.
If you want to learn more about Manual Testing, you should check out our Software Testing blogs. These blogs provide detailed information about software testing, which can help you become better at it. By reading and regularly following these blogs, you can improve your skills and stay updated on the latest trends and information in the field of software testing.
GroTechMinds has a specific mobile application named ‘GrotechMinds,’ which is available for download on the Google Play Store as well as in the Apple ISO Store. Students can use this app to easily access class materials and resources. We publish course materials to the GroTechMinds mobile application after each class, giving students the option to learn at their level, whenever and wherever they want.”
After completing the GroTechMinds Manual Testing with API and SQL course, students can open up various job opportunities in the field of software testing, including roles such as QA Tester, Manual Tester, API Tester, SQL Tester, Quality Analyst (QA Analyst), and Test Analyst. According to current industry reports, these job roles are in high demand in the market. Learning with GrotechMinds from industry experts and gaining real-time project experience can pave the way for a successful career in the field of manual testing.
Yes. At GrotechMinds, upon successful completion of our Manual Testing course, students receive an International Organisation for Standardisation certification. This certification serves as a valuable credential, showcasing students’ skills and enhancing their prospects in securing jobs within the Manual Testing Industry.
Learning through real-world projects provides students with the practical skills required in today’s market, greatly improving their confidence and skill in Manual Testing. These hands-on experiences not only educate students for actual challenges and industry expectations, but also allow them to highlight their projects on their resumes, improving their chances of landing a job in the Manual Testing business.
To enroll in the GrotechMinds Manual Testing with API and SQL course, call our friendly customer service team at +91 8009900785 and ask about the program. After providing all of the essential information, you may enroll in our Manual Testing with API and SQL course and begin your journey into the realm of Selenium automation testing.
As an educational technology firm, we offer a variety of courses, such as automation testing, manual testing, software development, and ethical hacking.” These courses have the goal of providing students with technical learning opportunities. What separates us is that all of our courses include real-time project-based learning supported by industry experts who serve as our instructors.
