- Course Level : Advanced
- Duration : 60 Hours
- Fees :
- Certificate : yes
- Pre-recorded Sessions : yes
Data Science and AI
Master the Art of Data Science and AI
Hayford Integrated Training Institute offers a comprehensive Data Science & AI course designed for professionals looking to enhance their knowledge and skills in this fast-growing field. Our Data Science & AI course is designed to provide students with a deep understanding of the tools and techniques used to analyze, model, and solve complex data problems using artificial intelligence and machine learning.
Our experienced instructors have years of experience in the field of Data Science & AI and are committed to providing students with the support they need to succeed. They will guide students through the entire Data Science & AI process, from data collection to deployment, ensuring that they have a deep understanding of each stage and the tools and techniques used to analyze, model, and solve complex data problems using artificial intelligence and machine learning.
The Data Science & AI course at Hayford Integrated Training Institute covers a range of topics, including statistical analysis, machine learning algorithms, data visualization, natural language processing, and deep learning. Our course is designed to be hands-on and interactive, allowing students to apply the concepts they learn in real-world scenarios.
At Hayford Integrated Training Institute, we understand that each student’s needs are unique. That’s why our Data Science & AI course is flexible, allowing students to choose the delivery method that best suits their schedule and learning style. Our course is available online, in-person, and as a hybrid of both.
Who Should Attend?
Course Outline
Courses
Python For Data Science
High-level programming language Python is free and open source. One of the top programming languages used by data scientists for diverse data science applications, Python offers a great approach to object-oriented programming. The Python for Data Science course is intended to give professionals strong Python programming abilities to support them in implementing various projects and applications in data science.
Deep Learning With Python
Deep learning is the machine learning approach that is most frequently utilized for the most innovative applications in a variety of fields, including robotics, natural language processing, image recognition, and artificial intelligence. The Deep Learning with Python course teaches professionals how to program in Python and introduces them to a variety of Deep Learning techniques, preparing them for careers in the AI and Deep Learning fields.
Machine Learning Foundation
The Machine Learning Foundation course is intended to provide professionals with a thorough understanding of the concepts, methodologies, and mathematical frameworks applied by Machine Learning experts. The Machine Learning Foundation course is designed to increase accessibility to essential machine learning capabilities for anyone looking to pursue promising careers.
Artificial Intelligence Foundation
Artificial intelligence (AI) is quickly eclipsing all industries and profoundly affecting almost every area of modern life. This Artificial Intelligence Foundation course offers a thorough review of the theoretical foundations, uses, and professions related to AI. With the knowledge and fundamental abilities, participants will learn in this AI course, users may start the path and be successful in the AI era.
Advanced Artificial Intelligence Expert
The Artificial Intelligence course is a cutting-edge industry-designed program that gives working professionals and those who are just starting their careers a solid understanding of the key ideas underpinning deep learning, machine learning, data science, and many more fields. By constructing intelligent computer systems and AI applications, this course seeks to develop the participants’ expertise in artificial intelligence.
Data Science With R
R is a widely used, open-source, free programming language for statistical computation and design. Big data and data analytics have seen dramatic advancements as a result. The Data Science with R course is made to assist professionals in learning the fundamentals of the R programming language and applying them to diverse data science applications. Professionals who want to update their programming skills for the competitive job market should take this course.
Big Data, Hadoop, & Spark Certification
Big Data is spreading its wings in practically every other area of our life as it continues to expand rapidly. Now is the ideal time to start a career in this lucrative industry due to the enormous expansion of Big Data. Professionals are trained in Hadoop and Spark in the Big Data Hadoop and Spark course so they can make better business decisions and confidently take on any difficulties in the real world.
Big Data On AWS
The Big Data ecosystem is still developing quickly. Today, a wide range of analytical approaches serve several activities across sectors, making big data solutions on AWS essential. The Big Data on AWS course is meant to teach professionals how to create robust Big Data solutions utilizing a variety of AWS cloud services.
FullStack Web Development Using Python
Full Stack Developers are software professionals skilled in both frontend (client-side) and backend (server-side) development. A broad spectrum of software abilities and languages are covered in the Full Stack Web Development course, enabling professionals to build full-stack websites confidently and easily. This comprehensive training course on full-stack web development is meant to jumpstart professionals’ careers as full-stack developers.
Data Science For Managers
Data Science for Managers is a specialist course that gives managers in-depth knowledge of data science’s fundamental concepts so they can make data-driven decisions. A business’s data must be analyzed to gain insights that can be used to make choices, and this is the main focus of the Data Science for Managers course.
Key learning outcomes
- Develop Data Science Models
- Apply AI Techniques
- Utilize Big Data Tools
- Ensure Ethical AI Use
- Optimize AI Performance
Course details
Course Duration
- Python For Data Science - 24 Hours
- Artificial Intelligence Foundation - 24 Hours
- Big Data On AWS - 24 Hours
- Full Stack Web Development Using Python - 24 Hours
- Data Science & Big Data Analytics - 12 Hours
- Data Science Foundation - 12 Hours
- Data Science For Managers - 12 Hours
Study Materials
- We offer study Material
Course Fees
Learning Management System
- Full access to Pre-recorded Sessions
- Mock Tests & Exams
- Full study Material
- Online & Offline Sessions
- Flexible Learning
Eligibility Criteria
Academic Qualifications
- To be accepted into one of the IIA’s certification programs, you must have an Associate’s degree or above. A Foundation Degree, Diploma of Higher Education, Higher National Diploma, or three A-level diplomas with a grade of C or better are common counterparts.
Experience Requirements
Each academic level needs the following amount of years of experience:
| Academic Level | Relevant Years of Experience |
| MBA | 1 Year |
| BBA | 2 Years |
| Associate Degree/ 3 A level Certificates (grade C or higher) | 5 Years |
All documents (proof of schooling, character references, and identity) must be received and authorized by the IIA before an application may be granted.
Benefits of Earning Data Science and AI Certification
Earning the Data Science and AI Certificate in Sustainability for Finance Course offers numerous advantages that can significantly boost your professional journey:
