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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
Organizations rely significantly on data in today's data-driven environment to inform decisions, find creative solutions to challenges, and drive innovation. This comprehensive 6-month diploma covers Python programming, Machine Learning, and Artificial Intelligence fundamentals to prepare you for success in this fast-paced industry.
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
What You'll Learn
Learners with a good understanding of doing something great with numbers, insights, model building, and analysis can seek their bright future in this highly booming domain of Data Science with AI.
In this 6-Months Diploma, you will learn:
- Python Programming for Data Science
- Artificial Intelligence fundamentals
- Machine Learning algorithms and models
- Data visualization and analysis
- Neural networks and deep learning
- Real-world project implementation
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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 global data science platforms market was valued at USD 103.93 billion in 2023 and is expected to grow at a CAGR of 24.7% to reach USD 776.86 billion by 2032.
Data science platforms provide comprehensive tools for the entire project lifecycle, enabling model building, deployment, and investigation while facilitating collaboration and large-scale computing infrastructure.
Why Choose Craw Security?
Choosing Craw Security for comprehensive AI and ML training provides access to industry experts with years of quality experience, ensuring significant career growth and professional development.
- Flexible Learning Modes:
- • 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 Materials from Global Data Scientists
- Certificate of Completion with Internal Exams
Benefits of Learning AI & ML
Data is frequently referred to as the "new oil," driving innovation, business expansion, and scientific discoveries. Learning data science provides numerous benefits for career development and problem-solving capabilities.
- High Demand and Lucrative Career Opportunities
- Diverse Career Paths and Flexibility
- Solving Real-World Problems
- Enhanced Analytical Thinking
- Data Literacy Empowerment
- Innovation and Creativity Opportunities
- Cutting-Edge Tools Mastery
- Continuous Learning and Adaptation
- Global Impact Career
Job Scope: Industries with High Demand
The role of Data Scientist has become one of the most desirable career options. Here's an overview of key industries 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. For the purpose of optimizing algorithms, personalizing content, and improving consumer experiences, companies such as Google, Amazon, and Facebook rely on data scientists. |
| Finance | By assisting banks and other financial institutions in predicting market trends, evaluating risks, and identifying fraudulent activity, data scientists contribute to the financial sector. Models for algorithmic trading, credit scoring, and risk management are among the things that they are working on developing. |
| Healthcare | The field of data science is seeing a revolution in the healthcare industry by enabling predictive analytics for the prevention of disease, improving patient outcomes, and personalizing therapies through the utilization of insights derived from patient data. |
| Retail and E-commerce | Data scientists are employed in the retail industry to gather information on customer behavior in order to improve pricing, inventory management, and marketing techniques. Data is utilized in the development of recommendation systems that are designed to improve the overall consumer experience, similar to the systems utilized by Amazon and Netflix. |
| Manufacturing | In the manufacturing industry, data scientists are primarily concerned with improving production lines, forecasting equipment breakdowns through predictive maintenance, and decreasing operating costs through the analysis of supply chain data. |
| Government and Public Policy | The field of data science is utilized by governments in order to examine data from the public sector, enhance services, and propel smart city efforts. It assists in the process of making decisions for urban planning, public health, and education that are underpinned by facts. |
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. For the purpose of optimizing algorithms, personalizing content, and improving consumer experiences, companies such as Google, Amazon, and Facebook rely on data scientists.
Finance
By assisting banks and other financial institutions in predicting market trends, evaluating risks, and identifying fraudulent activity, data scientists contribute to the financial sector. Models for algorithmic trading, credit scoring, and risk management are among the things that they are working on developing.
Healthcare
The field of data science is seeing a revolution in the healthcare industry by enabling predictive analytics for the prevention of disease, improving patient outcomes, and personalizing therapies through the utilization of insights derived from patient data.
Career Prospects and Growth Opportunities
| Position | Description |
|---|---|
| Junior Data Scientist | Data collecting, cleaning, and giving assistance with basic data analysis are the primary responsibilities of entry-level roles. |
| Data Analyst | The interpretation and evaluation of data in order to deliver business insights is the primary emphasis of data analysts, who frequently |
| Senior Data Scientist | As their experience grows, data scientists are able to tackle increasingly difficult tasks, take the lead on projects, and design more sophisticated machine learning models. |
| Machine Learning Engineer | After gaining experience in the field of machine learning, data scientists migrate into professions that need them to construct scalable machine learning models for use in business applications. |
| 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) | In a senior executive position, this individual is accountable for supervising the data management approach of the whole company and ensuring that the organization’s data assets are optimal for the achievement of business objectives. |
Junior Data Scientist
Data collecting, cleaning, and giving assistance with basic data analysis are the primary responsibilities of entry-level roles.
Data Analyst
The interpretation and evaluation of data in order to deliver business insights is the primary emphasis of data analysts, who frequently
Senior Data Scientist
As their experience grows, data scientists are able to tackle increasingly difficult tasks, take the lead on projects, and design more sophisticated machine learning models.
Skills Required for Data Scientists
A combination of technical and non-technical abilities is required for success in data science:
- Programming Skills (Python, R)
- Statistical Analysis
- Machine Learning
- Data Visualization
- Big Data Tools
- Communication Skills
Who Should Enroll?
This diploma course is ideal for various professionals and students:
- Fresh Graduates and Students
- Career Change Professionals
- IT Professionals Seeking Upskilling
- Business Professionals and Managers
- Entrepreneurs and Startups
- Researchers and Academics
- AI & ML Enthusiasts
- Remote Work Seekers
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