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Python
AI / ML
Statistics
Capstone Project
Introduction to NLP
Tf-Idf, Bag-of-words
Rule-Based Approaches: Keyword matching and grammar rules
Statistical Methods: n-grams
Machine Learning for tasks like part-of-speech tagging, named entity
recognition
Word embeddings: Word2Vec, GloVe for semantic relationships
Attention Mechanisms: Machine translation, text summarization, sentiment
analysis
Transformers: Architecture, self-attention, pre-trained language models like
BERT, GPT
Lab(s): NLP use cases with key approaches
Introduction to Generative AI
Evolution of Generative AI
How Generative AI Differs from Other AI Technologies
Understanding Generative AI and its Capabilities
Distinctions Between Generative AI and Traditional AI/ML
Exploring the Generative AI Value Chain
Current Trends in Generative AI including ChatGPT
Applications and Use Cases of Generative AI
Demos to give broader perspective about Bard, ChatGPT, MidJourney and
more
Introduction to LLMs
Use cases and tasks of LLMs
Architecture of LLMs
Generative Models for Text: Introduce generative models for text generation in
NLP, including approaches like language modeling with autoregressive
models, variational autoencoders (VAEs), and transformers.
Evolution of text generation techniques
Understanding role of Vector Databases
Prompting and Prompt engineering
Lab(s): Prompt Engineering
Importance of Well-Defined Prompts in Generative AI
Strategies for Crafting Effective Prompts
Leveraging Prompt Engineering for Desired Outputs
Lab Exercise on better prompt design
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Capstone Project
Mock Interview
Resume Building
Referrals
Training by Our dedicated trainers, with an experience of 12+years in the same field.
Every session followed by self practice assignment and recorded videos accessible using mobile app and web.
Scenario based interview question and answers.
Mock interviews after completion of training.
Practice and doubts clarifications sessions after the training.
Guaranteed placement for students that are successful in their assigned training project.
Course Certificate for successful students from Academy of Data by Rekindle Technologies.
"With over 12 years of experience in information technology, I am a Lead Data Scientist at eClerx, a global provider of business process management and analytics solutions. My mission is to leverage my skills and expertise in data engineering, data science, and artificial intelligence to build advance analytics solutions for customer operations."