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AI Machine Learning Deep Learning Essentials (TTAI3005) Course
AI Machine Learning Deep Learning Certfication
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AI, Machine Learning & Deep Learning Essentials (TTAI3005) is a 3-day course emphasizing a hands-on training experience designed to provide a baseline understanding of the core te
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AI Machine Learning Deep Learning Essentials (TTAI3005) Course
AI, Machine Learning Deep Learning Essentials (TTAI3005) lets you become familiar with AI, machine learning, and deep learning technology. The hands-on program is curated to ensure that learners like you get a clear idea of the core technologies and their business applications. The rapid development in the field of technology has resulted in modifications in these technologies that can be leveraged to improve business efficiency.
The hands-on lab sessions and machine-based labs, along with discussions and live demos, will ensure that every learner understands the tools, current trends, and advances in the field. A basic understanding of the technologies can be gained from the expert-led lectures, after which the lab sessions will ensure that you understand the application in the practical world. In order to take maximum benefit of the technologies, users need to be aware of the foundational concepts along with the security and other parameters that govern the working of the technology. The course will give you a wholesome learning experience while ensuring the skill development to incorporate AI, ML, and deep learning in your professional space. By the end of this course, you will be able to understand AI, supervise ML, and explore data science in-depth to apply it to your organizational benefit. Tools like Python, TensorFlow, and Keras will strengthen your ability to implement deep learning algorithms and applications
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Objectives
Throughout this hands-on learning experience facilitated by our experts, you will achieve the following objectives:
- Understand a complete grasp of Deep Learning, an advanced subfield of machine learning, by concentrating on its underlying ideas and keys.
- Explore approaches and tactics that facilitate the adoption and integration of AI, ML, and Deep Learning technology.
- Utilize hands-on exercises to acquire expertise in Machine Learning, encompassing fundamental topics such as neural networks, algorithms, and natural language processing.
- Examine the differences, different applications, and implementations of AI, ML, and Deep Learning technologies.
- Develop proficiency in the successful implementation of critical tools and programming languages, including Python, R, Spark, TensorFlow, and Keras, for projects involving AI, machine learning, and deep learning.
- Evaluate fundamental abilities, a particular lexicon, and the terminology that is intrinsic to the fields of artificial intelligence, machine learning, and deep learning.
- Examine the significance and enthusiasm associated with the use of AI, Machine Learning, and Deep Learning in modern-day scenarios.
- Examine and inform on current developments, ongoing research, and trends in the domains of artificial intelligence, machine learning, and deep learning.
- Examine concrete examples from the real world, one can gain insight into the strategic utilization of AI, machine learning, and deep learning by diverse organizations.
Audience
This intermediate-level course is suitable for learners and professionals in the world of business and intelligence. It is targeted to anyone who is contributing strategically to the adoption of AI and ML into their projects and applications.
- Business analysts
- Machine learning data analysts
- Data engineers
- Project managers
- Learners who want to explore ML and use Vertex AI AutoML
- Individual contributors
- IT aspirants
- Data scientists and teams
- AI Specialists
Prerequisites
To derive the maximum benefit, it is recommended to have a basic understanding of data fundamentals and the ability to develop systems architecture. The course will benefit learners and professionals having-
- A mandatory enterprise IT and business knowledge to understand the systems architecture and have some knowledge of the business drivers that are used to take advantage of applying data science, AI, and ML.
- An experience with advanced mathematics and statistical knowledge to understand and work with the algorithms.
- A basic knowledge of scripting and Python programming language that is applied to machine learning and deep learning.
- A working experience in basic Java will be useful for you to have advanced tool knowledge such as Spark or TensorFlow.
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FAQ’s
How is the course program carried out at Vinsys?
Our courses are delivered through instructor-led training (ILT), private group training, and virtual instructor-led training (vLIT). We boost your odds of success by helping you prepare for required exams and earn the certification. Effective course material accessed throughout the program makes learning about concepts beyond the class easier. You can choose your learning path to upskill with Vinsys' subject matter experts upon customizing training needs to ensure 100% results.
Why Vinsys
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3,000+ Courses & 2,000+ Modules
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Reviews
As an AI specialist, I found the course to be an invaluable experience that has expanded my knowledge and kept me abreast of the latest developments in the field. The courses focus on exploring these technologies and covering in-depth coverage that has elevated my skills to communicate more effectively in complex AI discussions. I am thankful to Vinsys.
Sarika TeliAI Test Engineer
My team specializes in Machin Learning, and we found the course. The Foundational to Advanced Level Understanding has equipped us with the knowledge that can be proficiently applied to diverse algorithms and leverage the most suitable tools for our projects. It has motivated us to explore innovative solutions. All thanks to Vinsys experts for clearing our doubts at every step
Sudhir AuteAI Security Analyst
