Why Data Science course from Us ?



In our Data Science certification program, participants engage in expert-led courses with hands-on projects, ensuring a practical understanding of theoretical concepts. Following this, our specialized sessions focus on resume building and mock interviews, where experienced professionals provide valuable feedback on communication and problem-solving skills. We go a step further by offering guidance on building professional networks through referrals, equipping our students with a holistic skill set to excel not only in technical proficiency but also in navigating the competitive job market with confidence and strategic connections.

What You gain from Our Course

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Python

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AI / ML

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Statistics

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Capstone Project

Curricula for Data Science Advanced

Evolution of Natural Language Processing 4hrs

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

Getting started with Generative AI 4hrs

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

Large Language Models (LLMs) 4hrs

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

Prompts & Best Practices of Prompt Engineering 4hrs

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

Also check

₹ 50,000

Easy EMI Options

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Secured Transaction

Placement Guidance

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Capstone Project

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Mock Interview

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Resume Building

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Referrals

Key features of the course


Our Trainer

Indrajith Singh

Indrajith Singh - Chief Technology Officer at Cellstrat


"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."