Overview
AI & Machine Learning: Empowering the Future of Technology
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the way we interact with technology, unleashing a new era of innovation and automation. With AI and ML algorithms, computers can analyze vast amounts of data, learn from patterns, and make intelligent decisions without explicit programming.
AI encompasses a broad range of techniques and technologies that enable machines to mimic human intelligence. Machine Learning, a subset of AI, focuses on developing algorithms that allow machines to learn from data and improve their performance over time.
Why Join this Program
- Understand how to apply machine learning and deep learning with NLP.
- Perform text-to-speech conversion with automated speech recognition.
- Learn about natural language understanding and natural language generation.
- Learn how to solve reinforcement learning problems with a variety of strategies.
- Work on voice-assistance devices and build Alexa skills.
Who Can Attend
Any technical professional as well as individuals pursuing their graduation / post-graduation in the Computer Science or Information Technology sector.
Skills and Tools
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Programming languages
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Data engineering
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Exploratory data analysis
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Data modeling & model validation
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Design & software engineering
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Deploying
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Security
Course Benefits
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Career Growth
If you’re looking for a way to jump-start your career, earning your course certification is an important step to take. Even if you’re already experienced in data science, a professional certification from an advanced data science course can still help you go jump-start in your career, stand out amongst the competition, and even increase your earning potential.
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Flexibility, Freedom, and Options
There are so many different industries leveraging the power of data science, from healthcare to finance, to retail and entertainment. In reality, just about every industry and company these days is recognizing the importance of data and the need for qualified data scientists.
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A Highly Paid Career
Data Science is one of the most highly paid jobs. This makes Data Science a highly lucrative career option. There are numerous applications of Data Science. It is widely used in healthcare, banking, consultancy services, and e-commerce industries.
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Career Growth
If you’re looking for a way to jump-start your career, earning your course certification is an important step to take. Even if you’re already experienced in data science, a professional certification from an advanced data science course can still help you go jump-start in your career, stand out amongst the competition, and even increase your earning potential.
-
Flexibility, Freedom, and Options
There are so many different industries leveraging the power of data science, from healthcare to finance, to retail and entertainment. In reality, just about every industry and company these days is recognizing the importance of data and the need for qualified data scientists.
-
A Highly Paid Career
Data Science is one of the most highly paid jobs. This makes Data Science a highly lucrative career option. There are numerous applications of Data Science. It is widely used in healthcare, banking, consultancy services, and e-commerce industries.
Career Scope
- Big Data Engineer
- Business Intelligence Developer
- Data Scientist
- Machine Learning Engineer
- Research Scientist
- AI Data Analyst
- Product Manager
- AI Engineer
- Robotics Scientist
Exam Details
Exam duration is 2 hours and is in MCQ format.
FAQs
Reviews
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Tutori
Cover all topicc
The course identify things we want to change and then figure out the things that need to be done to create the desired outcome. The course helped me in clearly define problems and generate a wider variety of quality solutions. Support more structures analysis of options leading to better decisions. -
Tutori
Cover all topicc
The course identify things we want to change and then figure out the things that need to be done to create the desired outcome. The course helped me in clearly define problems and generate a wider variety of quality solutions. Support more structures analysis of options leading to better decisions.