Mastering NLP: Tokenization, Sentiment Analysis & Neural MT
$49
ENROLL NOWCourse Overview
What You'll Learn
- Harness the power of language-driven AI with this applied Mastering NLP: Tokenization, Sentiment Analysis & Neural MT Specialization.
- Whether you're new to AI or expanding your machine learning expertise, this program guides you through essential and advanced NLP techniques—from sentiment analysis and tokenization to neural translation and transformer models.
- You’ll complete three practical courses: Course 1: Natural Language Processing Essentials Learn linguistic structures and text preprocessing techniques Apply tokenization, stemming, lemmatization, and POS tagging Explore n-gram models and build basic NLP pipelines Course 2: Advanced Tokenization and Sentiment Analysis Master advanced tokenization methods like byte-pair encoding Perform NER, emotion classification, and sentiment analysis Build and fine-tune ML models using real-world text data Course 3: Neural Models and Machine Translation Implement RNNs, LSTMs, GRUs, and Transformer-based models Use pretrained models like BERT, RoBERTa, and MarianMT Train neural machine translation systems with encoder-decoder architecture By the end, you'll be able to: Design and deploy full NLP applications using classical and neural techniques Tackle real-world language tasks like sentiment prediction and translation Pursue roles in NLP, AI development, and applied machine learning Enroll now to gain hands-on experience in building intelligent, language-aware systems.
Harness the power of language-driven AI with this applied Mastering NLP: Tokenization, Sentiment Analysis & Neural MT Specialization. Whether you're new to AI or expanding your machine learning expertise, this program guides you through essential and advanced NLP techniques—from sentiment analysis and tokenization to neural translation and transformer models. You’ll complete three practical courses: Course 1: Natural Language Processing Essentials Learn linguistic structures and text preprocessing techniques Apply tokenization, stemming, lemmatization, and POS tagging Explore n-gram models and build basic NLP pipelines Course 2: Advanced Tokenization and Sentiment Analysis Master advanced tokenization methods like byte-pair encoding Perform NER, emotion classification, and sentiment analysis Build and fine-tune ML models using real-world text data Course 3: Neural Models and Machine Translation Implement RNNs, LSTMs, GRUs, and Transformer-based models Use pretrained models like BERT, RoBERTa, and MarianMT Train neural machine translation systems with encoder-decoder architecture By the end, you'll be able to: Design and deploy full NLP applications using classical and neural techniques Tackle real-world language tasks like sentiment prediction and translation Pursue roles in NLP, AI development, and applied machine learning Enroll now to gain hands-on experience in building intelligent, language-aware systems.
Course FAQs
Is this an accredited online course?
Accreditation for 'Mastering NLP: Tokenization, Sentiment Analysis & Neural MT' is determined by the provider, Edureka. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Mastering NLP: Tokenization, Sentiment Analysis & Neural MT' on the Edureka online class platform, where you can complete your registration.
