Next Batch:23/11/2025
Six-Months Diploma in Artificial Intelligence (AI) and Machine Learning
Master AI fundamentals with Python, Machine Learning, and hands-on projects
Six-Months Diploma in Artificial Intelligence (AI) and Machine Learning
Next Batch:23/11/2025
Next Batch:23/11/2025
In today's data-driven world, organizations heavily rely on data to make choices, solve problems creatively, and spur innovation. As a result, there is an increasing need for data scientists. Craw Security offers a comprehensive six-month diploma in data science that is designed to provide you with the abilities and information required to thrive in this rapidly evolving field. This diploma covers three main subjects: Python, artificial intelligence, and machine learning.
Languages
Hindi & English
Contact
+91 9513805401
training@craw.in
Course Benefits
Live Classes
Interactive instructor-led sessions
Expert Instructors
Learn from industry professionals
Lifetime Access
Online resources & video library
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What Will You Learn in 6-Months Diploma in AI and Machine Learning?
Through the top-notch training faculty at Craw Security, students who have a solid grasp of how to accomplish something amazing with statistics, insights, model development, and analysis can pursue their bright future in this rapidly expanding field of Data Science Diploma with AI. At Craw Security, learning aspirants will genuinely have the best learning environment, allowing them to study in the most carefully selected training setting.
In this magnificent field of Data Science, one will have a 6-Months Diploma in Data Science in which one will learn the following:
- Artificial Intelligence
- Machine Learning
- Python Programming for Data Science
Let’s have a closer look at what you will study in this course, as well as how it will assist you in becoming an effective data science expert.
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Course Curriculum
Explore our comprehensive curriculum covering Python, Machine Learning, and Artificial Intelligence with hands-on projects and real-world applications.
Market Share of Data Science
The size of the global market for data science platforms was estimated at USD 103.93 billion in 2023. Over the course of the forecast period, it is expected to increase at a compound annual growth rate (CAGR) of 24.7%, from USD 133.12 billion in 2024 to USD 776.86 billion by 2032.
A software program that provides a platform for a data science project's whole life cycle is called a data science platform. These platforms enable model building, distribution, and investigation, making them indispensable tools for data scientists. Furthermore, it provides a large-scale computing infrastructure and facilitates data preparation and visualization. These systems offer a centralized platform that facilitates user collaboration.
Why Choose Craw Security to Learn 6-Months Diploma in Artificial Intelligence (AI) and Machine Learning?
Selecting Craw Security for thorough training in Data Science with AI from highly sought-after experts with years of excellent experience can be incredibly advantageous for both substantial career advancement and respectable personal development. When selecting Craw Security as your chosen partner in this domain, you should take into account the following ideal factors:
- ● Full Flexibility in choosing the learning mode, such as:
- • VILT (Virtual Instructor-Led Training)
- • Pre-recorded Video Sessions
- • Offline Classroom Sessions
- World-Class Experienced Training Faculties
- Study Materials in Both Soft and Hard Copies
- Verified study materials from data scientists working in diverse organizations worldwide.
- Certificate of Completion after finishing the course, followed by an internal exam(s).
You can choose to opt for a demo session in order to make up your mind whether to start or not the primetime6-Month Diploma in Artificial Intelligence (AI) and Machine Learning under the career-promising guidance of highly qualified training mentors with many years of quality work experience. To book a demo slot for the same course, you can give us a call at our hotline mobile number, +91-9513805401, and have a word with our superb group of study consultants.
Benefits of Learning AI & ML
These days, data is often referred to as the "new oil," since it propels scientific breakthroughs, commercial growth, and innovation. As more businesses in all industries become more data-driven in their plan implementation, there is a growing need for seasoned data scientists.
Learning data science is one of the most fulfilling skills to have since it offers a number of advantages, such as the capacity to grow professionally and solve issues. In this regard, Craw Security, which is the leading AI Training Institute in India, offers a classic 6-Month Diploma in AI and ML to support the data science education in the young generation through world-class practical training on live projects.
The following are the main benefits of learning data science and why it's a wise investment for your future:
- High Demand and Lucrative Career Opportunities
- Diverse Career Paths and Flexibility
- Solving Real-World Problems
- Enhanced Problem-Solving and Analytical Thinking
- Empowerment through Data Literacy
- Opportunities for Innovation and Creativity
- Mastering Cutting-Edge Tools and Technologies
- Continuous Learning and Adaptation
- Impactful Career with Global Reach
Job Scope of Data Scientists: Exploring a Promising Career Path
In this technology-driven society, the role of Data Scientist has become one of the most desirable job options available to individuals. The demand for talented data scientists is expected to continue to increase as a result of the growing reliance that businesses have on data in order to make choices, innovate, and maintain their competitive edge. The breadth of this profession encompasses a wide range of industries, which makes it a potentially lucrative and varied field of work.
An overview of the employment scope of data scientists is provided here, along with a description of the main industries with high demand for data scientists and career opportunities.
| Industry | Description |
|---|---|
| Technology | Data science is an essential component for the development of user insights, the enhancement of products, and the acceleration of innovation in technology companies. Businesses like Google, Amazon, and Facebook depend on data scientists to optimize algorithms, personalize content, and enhance customer experiences. |
| Finance | Data scientists support the financial industry by helping banks and other financial organizations forecast market trends, assess risks, and spot fraudulent activities. They are building models for risk management, algorithmic trading, and credit scoring, among other things. |
| Healthcare | By enabling predictive analytics for disease prevention, improving patient outcomes, and personalizing medications through the use of insights obtained from patient data, data science is revolutionizing the healthcare sector. |
| Retail and E-commerce | In order to improve pricing, inventory control, and marketing strategies, data scientists are used in the retail sector to collect data on consumer behavior. Recommendation systems, like those used by Amazon and Netflix, are developed using data in order to enhance the entire customer experience. |
| Manufacturing | Improving production lines, predicting equipment failures through predictive maintenance, and lowering operational costs through supply chain data analysis are the key concerns of data scientists in the manufacturing sector. |
| Government and Public Policy | Governments use data science to analyze public sector data, improve services, and advance smart city initiatives. It supports the process of making fact-based decisions for public health, education, and urban planning. |
Technology
Data science is an essential component for the development of user insights, the enhancement of products, and the acceleration of innovation in technology companies. Businesses like Google, Amazon, and Facebook depend on data scientists to optimize algorithms, personalize content, and enhance customer experiences.
Finance
Data scientists support the financial industry by helping banks and other financial organizations forecast market trends, assess risks, and spot fraudulent activities. They are building models for risk management, algorithmic trading, and credit scoring, among other things.
Healthcare
By enabling predictive analytics for disease prevention, improving patient outcomes, and personalizing medications through the use of insights obtained from patient data, data science is revolutionizing the healthcare sector.
Career Prospects and Growth Opportunities
A data scientist should anticipate a dynamic career path with a range of responsibilities and specialty choices. Some of the most common job titles in this sector are as follows:
| Position | Description |
|---|---|
| Junior Data Scientist | The main duties of entry-level positions include gathering data, cleaning it, and helping with basic data analysis. |
| Data Analyst | The main focus of data analysts, who often act as intermediates, is the interpretation and evaluation of data to provide business insights. |
| Senior Data Scientist | Data scientists can take on more challenging tasks, lead projects, and create increasingly complex machine learning models as their experience improves. |
| Machine Learning Engineer | Data scientists go into careers requiring them to build scalable machine learning models for use in business applications after getting experience in the area. |
| Data Science Manager | As data scientists advance in their careers, they have the opportunity to advance into leadership positions, where they are responsible for managing teams of data professionals and driving data strategy. |
| Chief Data Officer (CDO) | As a senior executive, this person is responsible for overseeing the company s overall data management strategy and making sure that the organization s data assets are ideal for achieving business goals. |
Junior Data Scientist
The main duties of entry-level positions include gathering data, cleaning it, and helping with basic data analysis.
Data Analyst
The main focus of data analysts, who often act as intermediates, is the interpretation and evaluation of data to provide business insights.
Senior Data Scientist
Data scientists can take on more challenging tasks, lead projects, and create increasingly complex machine learning models as their experience improves.
Skills Required for Data Scientists
To succeed in this field, a data scientist must possess both technical and non-technical skills. Among these skills are:
- Programming Skills (Python, R)
- Statistical Analysis
- Machine Learning
- Data Visualization
- Big Data Tools
- Communication Skills
Who Should Do 6 Months Diploma in Learning Artificial Intelligence (AI) and Machine Learning?
Here’s a look at who would benefit the most from enrolling in this diploma course:
- Fresh Graduates and Students
- Professionals Looking for a Career Change,
- IT Professionals Looking to Upskill,
- Business Professionals and Managers
- Entrepreneurs and Startups
- Researchers and Academics
- Anyone Interested in Artificial Intelligence and Machine Learning,
- People Looking for Remote Work Opportunities, etc.
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