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Artificial Intelligence Certification Course Option 2
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The AI and Machine Learning Course, carefully curated by industry experts, provides an extensive understanding of artificial intelligence and machine learning principles and practices. Through comprehensive coursework and hands-on projects, participants gain practical expertise in model design and implementation, AI and machine learning solution creation, feature engineering, big data manipulation, and data-driven decision-making. The comprehensive curriculum equips learners with the skills needed to develop cutting-edge AI and machine learning solutions that cater to evolving organizational needs. Enroll today to embark on a journey towards becoming a globally recognized AI and machine learning professional!
Why enroll for Artificial Intelligence Certification Course?
Artificial Intelligence (AI) is exerting a profound influence on the trajectory of human progress across diverse industries. Its impact as a technological catalyst remains unwavering, poised to spearhead innovation in the foreseeable future.
In 2022, the global AI market size was USD 136.55 billion and is projected to reach USD 1.597.1 billion by 2030, with a compound annual growth rate (CAGR) of 37.3% from 2022 to 2030.
According to salary.com, Lead AI Engineer’s base salary is between USD 157,302 and USD 191,127, while the average base salary is USD 170,265.
Artificial Intelligence Course Benefits
Why Artificial Intelligence Certification Course
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
About your Artificial Intelligence Certification Course
Artificial Intelligence Skills Covered
- Image Classification
- Image Processing
- Text Processing
- Collaborative Filtering
- Text Classification
- Computer Vision
Artificial Intelligence Tools Covered
Artificial Intelligence Course Curriculum
Curriculum Designed by Experts
Topics
Overview of Text Mining
A. Need of Text Mining
B. Natural Language Processing (NLP) in Text Mining
C. Applications of Text Mining
D. OS Module
E. Reading, Writing to text and word files
F. Setting the NLTK Environment
G. Accessing the NLTK Corpora
Topics
A. Tokenization
B. Frequency Distribution
C. Different Types of Tokenizers
D. Bigrams, Trigrams & Ngrams
E. Stemming
F. Lemmatization
G. Stopword
H. POS Tagging
I. Named Entity Recognition
Topics
A. Syntax Trees
B. Chunking
C. Chinking
D. Context Free Grammars (CFG)
E. Automating Text Paraphrasing
Topics
A. Machine Learning: Brush Up
B. Bag of Words
C. Count Vectorizer
D. Term Frequency (TF)
E. Inverse Document Frequency (IDF)
Topics
A. What is Deep Learning?
B. Curse of Dimensionality
C. Machine Learning vs. Deep Learning
D. Use cases of Deep Learning
E. Human Brain vs. Neural Network
F. What is Perceptron?
G. Learning Rate
H. Epoch
I. Batch Size
J. Activation Function
K. Single Layer Perceptron
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Artificial Intelligence Course Description
The Artificial Intelligence Course is a meticulously crafted blend of Natural Language Processing and Deep Learning, strategically tailored to cater to both professionals and beginners while adhering to industry benchmarks. This course delves into the intricacies of Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, and Syntax Tree Parsing. It leverages Python’s NLTK package and delves into advanced concepts like CNN, RCNN, RNN, LSTM, RBM, along with their implementation using TensorFlow 2.0 package.
This comprehensive course extends beyond theory, offering hands-on experience by constructing real-time projects in the realms of NLP and Deep Learning. The aim is to equip learners with practical skills that are aligned with industry requirements, facilitating a seamless entry into the field and accelerating their career prospects within this dynamic domain.
The demand for AI engineers is experiencing rapid growth, with projections indicating a sustained upward trajectory. This trend is driven by the widespread adoption of AI technologies across diverse industries and the escalating significance of AI competencies within the job market.
There are several compelling reasons for individuals to consider enrolling in an online artificial intelligence course. Here are a few:
Career Advancement: Artificial intelligence stands as one of the swiftest expanding domains in technology. The demand for adept professionals in this realm is substantial. Enrolling in an AI course can augment your skill set and knowledge, rendering you a more valuable asset to potential employers.
Stay Current: The landscape of artificial intelligence is in a state of constant evolution, characterized by the continual emergence of new technologies and methodologies. By participating in an AI course, you ensure that you remain well-informed about the latest trends and breakthroughs in the field.
Learning from Experts: Courses in AI are taught by seasoned experts, affording you access to their profound insights and practical experience. This exposure proves invaluable in comprehending intricate concepts and gaining hands-on proficiencies, ultimately bolstering your capabilities.
By pursuing an AI course, individuals can position themselves advantageously within the dynamic AI landscape, facilitating career growth and staying at the forefront of this transformative technology.
The realm of artificial intelligence (AI) is experiencing rapid expansion, and this trajectory is projected to persist in the years ahead. AI has made significant inroads across diverse industries including healthcare, finance, and education, among others. This growing adoption of AI technologies has engendered a heightened demand for professionals equipped with the requisite skills and knowledge to operate effectively within this domain.
Here are some key avenues through which AI career growth is manifesting:
Increased Job Opportunities: The demand for AI professionals spans both technical and non-technical roles.
Advancements in Technology: With AI technology continuously advancing, AI professionals find themselves at the forefront of creating novel applications and solutions that can tackle intricate challenges.
Emergence of Subfields: Within AI, distinct subfields are emerging, including explainable AI, AI ethics, and AI security. These subfields offer AI professionals avenues to specialize and progress within their careers.
Continuous Learning and Development: The field of AI is in a perpetual state of evolution, necessitating that AI professionals continuously enhance their skills and knowledge to remain aligned with the latest developments.
Collectively, the domain of AI presents abundant prospects for career advancement and growth, fueled by a robust demand for adept professionals. Embarking on an Artificial Intelligence Certification training course offers an effective pathway to seize these opportunities and excel within this transformative field.
This AI Course covers topics like NLP, Deep learning, Tensorflow, OpenCV Text classification, Text processing, Image processing, Object detection,
The Artificial Intelligence course caters to individuals seeking to remain abreast of the cutting-edge advancements in AI and aspiring to cultivate the proficiencies essential for constructing and implementing intelligent systems.
This course is particularly well-suited for the following categories of professionals:
Freshers NLP Engineers Software Testers Software Developers Python Developers Data Analysts Machine Learning Engineers Researchers Data Scientists
If you identify with any of the aforementioned roles, seize the opportunity without hesitation. Engage with our assistant team and take the plunge into our AI Course training to embark on a journey of skill enhancement and expertise acquisition.
Artificial Intelligence Course Projects
Airline Sentiment Analysis
Airline sentiment analysis uses natural language processing (NLP) and machine learning (ML) to analyze and comprehend customer sentiment expressed on social media, in reviews, and in other textual content related to airlines.
Face Mask Detection
Face Mask Detection uses computer vision (CV) and deep learning (DL) to differentiate face masks from unmasked faces in images or video.
Artificial Intelligence Certification
To get the Artificial intelligence course completion certificate unlock, you must:
Complete the Artificial intelligence course.
Evaluate and complete the given quizzes and projects.
Certainly, Artificial Intelligence (AI) is an swiftly expanding domain that offers abundant prospects for professional advancement and personal growth. AI has the capability to revolutionize sectors like healthcare, finance, transportation, and beyond, fostering a robust demand for proficient experts in this arena.
The realm of AI encompasses diverse career pathways, encompassing roles like machine learning engineer, data scientist, AI researcher, AI consultant, and more. These roles often necessitate a blend of technical proficiencies, such as programming and data analysis, alongside interpersonal skills like effective communication and adept problem-solving.
Furthermore, the AI landscape is in a perpetual state of evolution, marked by the continual emergence of fresh technologies and methodologies. Consequently, AI professionals must remain abreast of the latest advancements and continuously engage in learning to navigate this stimulating and dynamic professional terrain. In essence, if you possess a strong affinity for technology and an enthusiasm for unraveling challenges, a career in AI could prove exceptionally gratifying
The realm of Artificial Intelligence (AI) is intricate and swiftly advancing, demanding proper guidance and a methodical learning trajectory. Those new to the field who aspire to pursue a career in Artificial Intelligence using Python can enroll in our training program. Through this training, they can acquire a comprehensive understanding of AI’s capabilities and functions. Moreover, successful completion of the training leads to the attainment of certificates that validate their proficiency in this domain.
The significance of Artificial Intelligence (AI) certification is surging in today’s job market as industries spanning diverse sectors strive to integrate AI technology into their operations. Acquiring an AI certification can serve as a testament to potential employers of your possession of the requisite skills and knowledge essential for AI-related tasks, setting you apart from other contenders.
Here are several potential advantages linked to attaining an AI certification:
Showcases Expertise: An AI certification showcases your expertise in a specific facet of AI technology, whether it’s machine learning or natural language processing.
Expanded Job Prospects: Holding an AI certification can unlock doors to job prospects demanding familiarity with AI technology. This encompasses roles in data analysis, software development, and other technical capacities.
Elevated Salary Potential: Generally, individuals equipped with specialized technical skills, like AI, are positioned to command higher remuneration than their counterparts lacking such proficiencies. An AI certification can contribute to heightening your earning potential.
Competitive Edge: An AI certification can provide a competitive edge in job applications or entrepreneurial endeavors, enhancing your appeal to potential employers or business partners.
Professional Growth: Pursuing an AI certification fosters ongoing learning and advancement within your domain, ensuring you stay updated with the latest technology trends.
All in all, obtaining an AI certification constitutes a valuable investment in your career, fostering your competitiveness within a swiftly evolving job landscape.
Our Artificial Intelligence course develops your skills and test your understanding of AI. Our course is designed to empower you. Once you complete this certification, you’ll get access to a wide range of career opportunities. Some of the key roles include:
AI Engineer
Data Scientist
Natural Language Processing (NLP) Engineer
Deep Learning Engineer
Machine Learning Engineer
Artificial Intelligence Course FAQs
Artificial Intelligence (AI) denotes the replication of human intelligence processes through machines, particularly computer systems. It encompasses the creation of algorithms and frameworks that empower machines to execute activities typically associated with human intelligence. Such activities encompass reasoning, problem-solving, learning, perception, comprehending language, and making decisions.
Deep Learning, is a subfield of Machine Learning that focuses on AI (Artificial Neural Networks) and their capacity to learn, process, and make decisions similar to the way the human brain works.
Deep Learning involves training DNNs with layers to learn from large volumes of data. Deep Neural Networks (DNNs) can be programmed to perform high-level tasks such as image detection, speech detection, natural language understanding, and more.
To ensure the highest quality standards, we have a limited number of participants in each live session. Regrettably, it is not feasible to participate in a live class without enrolling. However, you have the option to review a sample class recording. This will provide you with a comprehensive understanding of the class format, the expertise of the instructors, and the extent of interaction within the session.
All educators at are industry practitioners possessing a minimum of 10-12 years of pertinent IT experience. They are acknowledged subject matter authorities who have received training from to ensure an exceptional learning encounter for participants.
To pursue a career as an AI engineer, consider these steps:
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Learn Programming: Begin with languages like Python, Java, or C++ and become adept in data structures and algorithms.
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Grasp Mathematics and Statistics: Understand linear algebra, calculus, probability, and statistics to establish a strong foundation for AI.
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Master Machine Learning: Acquaint yourself with diverse ML algorithms, techniques, and frameworks like TensorFlow or PyTorch.
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Acquire Practical Experience: Engage in real-world projects, partake in Kaggle competitions, and construct a portfolio showcasing your competencies.
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Focus on AI subfields: Focus on specific domains like natural language processing (NLP), computer vision (CV), or reinforcement learning (RE)
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Sustain Continuous Learning: Stay attuned to the latest AI advancements and research by enrolling in online courses, accessing tutorials, and reading academic papers.
