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Machine Learning, Data Science and Generative AI with Python course in pune

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Learning and mastering the concepts of AI can help your career grow immensely.

5/5

Time Span

⦿ 230+ Live Session
⦿ After Every Module mock
⦿ 2 hrs Daily

Process

⦿ Live Session
⦿ after session recording uploded same day

Structure

⦿ Mock After every modules
⦿ Real -time Projects after every module
⦿ Doubt Sessions & Assignments per week

Extra

⦿ Resume Building
⦿ Linkedin Profile
⦿ Interview Prep
⦿ Nukri Profile

About the Generative AI in Data Science course in pune

PG Program in Generative AI in Data Science in pune

- 99% Success Rate 🚀

Why Join Generative AI in Data Science Course Online in, Pune

Communication Skills - Devops course in pune

Communication Skills

Excellent Individualistic Communication in Interviews

Analytical Skills - Devops course in pune

Analytical Skills

we suggest that you need to understand and deeply analyze the necessities and needs of the customers. Therefore, analytical abilties and competencies are critical to successfully transform the design/code and construct a protracted-term profession in Salesforce.

Technical Skills - Devops course in pune

Technical Skills

Apex Visualforce Javascript CSS HTML SOUL Apart from this, you ought to understand internet improvement tools like Git, Eclipse, ID, and Sublime

Problem solving skills and logical skills - Devops course in pune

Problem-solving Skills and Logical Skills

We all recognize that no CRM platform is loose from errors, insects, and problems. So, wonderful realistic understanding and problem-solving talents are important for Salesforce developers. Adequate understanding and quick hassle fixing will help keep the Salesforce platform go with the flow.

Machine Learning, Data Science and Generative AI with Python Course Online

What you'll learn in Generative AI in Data Science Training in Pune

Key Highlights of the Generative AI in Data Science Course in pune

Job Roles You Can Get

Salary You Can Get upto 35 LPA

Assured Job Assistance

Who is this program for✅

Aspirant

Career Gap

Working Professional

Fresher

Key Highlights

Important highlights

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Industry Project
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Expert Counseling
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Tools Covered

Generative AI in Data Science Course Syllabus in pune

  • Python: The most widely used language for ML and AI, thanks to its simplicity and powerful libraries (TensorFlow, Scikit-learn, Pandas). It allows you to build and train machine learning models efficiently.
  • SQL: Helps in managing, retrieving, and querying data from databases, a crucial skill for working with real-world datasets.
  • Linux: A preferred operating system for running AI models on servers and cloud platforms. Knowing basic commands will help you manage environments and automate tasks.
  • Probability & Statistics: Essential for understanding data distributions, predictions, and making decisions under uncertainty (e.g., probability distributions, hypothesis testing).
  • Linear Algebra: The backbone of machine learning models, especially for neural networks and transformations like PCA. Concepts like matrices and vectors are fundamental.
  • Calculus: Used to optimize models through algorithms like gradient descent, which is key to training neural networks.

– grep, sed, Chmod, umask, chown, find, ping,df,du

  • Supervised Learning: Algorithms like linear regression, decision trees, and support vector machines (SVM) that use labeled data to make predictions.
  • Unsupervised Learning: Methods like K-means clustering and Principal Component Analysis (PCA) to discover patterns in unlabeled data. Useful for data grouping and dimensionality reduction.
  • Deep Learning: Advanced models that mimic the human brain, such as neural networks (CNNs for image processing and RNNs for sequential data like text).

Before feeding data into models, it’s critical to clean and prepare it. This involves:

  • Handling missing data, removing outliers.
  • Feature scaling (normalizing data), encoding categorical variables, and feature engineering.
  • Cross-validation: Splitting data into train/test sets or using K-fold validation to avoid overfitting and improve model performance.
  • Evaluation metrics: Metrics like accuracy, precision, recall, F1 score, and ROC-AUC help assess model performance.

Focuses on training agents to make sequential decisions by interacting with an environment. The agent learns by trial and error to maximize cumulative rewards (e.g., building bots that play games like Pac-Man).

    • A branch of AI that deals with understanding and processing human language. This includes tasks like tokenization (breaking text into words), sentiment analysis, and text classification (e.g., spam detection).
  •  

Tools like Matplotlib and Seaborn help visualize complex datasets, enabling better analysis through graphs, plots, and charts. It’s crucial for identifying trends and patterns in data.

Focuses on models that generate new data, like Large Language Models (LLMs) (e.g., OpenAI’s GPT) and Generative Adversarial Networks (GANs), which can generate images, texts, and more. These are used in content creation, chatbots, and simulations.

Generative AI in Data Science Course Online in pune

Discover the Future of Technology with Our Comprehensive Machine Learning & AI Course - Featuring Generative AI, Deep Learning, and Beyond!

In an era where Machine Learning (ML) and Artificial Intelligence (AI) are revolutionizing industries across the globe, understanding how giants like Google, Amazon, and Udemy leverage these technologies to extract meaningful insights from vast data sets is more critical than ever. Whether you’re aiming to join the ranks of top-tier AI specialists—with an average salary of $159,000 as reported by Glassdoor—or you’re driven by the fascinating challenges this field offers, our course is your gateway to an exciting new career trajectory.

Why Choose This Course?

Updated Content on Generative AI: Dive into the latest in AI with modules on transformers, GPT, ChatGPT, the OpenAI API, Advanced Retrieval Augmented Generation (RAG), LLM agents, langchain, and self-attention based neural networks.

Real-World Application: Learn through Python code examples based on real-life scenarios, making the abstract concepts of ML and AI tangible and actionable.

Industry-Relevant Skills: Our curriculum is designed based on the analysis of job listings from top tech firms, ensuring you gain the skills most sought after by employers.

Diverse Topics Covered: From neural networks, TensorFlow, and Keras to sentiment analysis and image recognition, our course covers a wide range of ML models and techniques, ensuring a well-rounded education.

Accessible Learning: Complex concepts are explained in plain English, focusing on practical application rather than academic jargon, making the learning process straightforward and engaging.

Course Highlights:

Introduction to Python and basic statistics, setting a strong foundation for your journey in ML and AI.

Deep Learning techniques, including MLPs, CNNs, and RNNs, with practical exercises in TensorFlow and Keras.

Extensive modules on the mechanics of modern generative AI, including transformers and the OpenAI API, with hands-on projects like fine-tuning GPT, Advanced RAG, langchain, and LLM agents.

A comprehensive overview of machine learning models beyond GenAI, including SVMs, reinforcement learning, decision trees, and more, ensuring you have a broad understanding of the field.

Practical data science applications, such as data visualization, regression analysis, clustering, and feature engineering, empowering you to tackle real-world data challenges.

A special section on Apache Spark, enabling you to apply these techniques to big data, analyzed on computing clusters.

Tools

When we have all data online it will be great for humanity. It is a prerequisite to solving many problems that humankind faces

- Robert Cailliau

Still not convinced???

REAL PEOPLE, REAL RESULTS

"Prominent" , Pune

Rupali
Rupali
Azure Data Engineer
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The main thing they teach vry well these topics python & spark (Pyspark), for complex data processing tasks within Azure data factory, they covered azure rather then aws.most of the opening are now in azure as compered to aws .they covered Azure cloud platform and services, particularly Azure Data Factory (ADF). with they teach sql also in that the main concept like SQL for querying and manipulating data , querying databases, and optimization theses are the best topics covered but integration in that not teach upto the mark may be they will improve in the next batch. At the time of placement 1:1 session going on before giving intechnical interview acha hai ye ye unique way hai kuch to bhi alag.
Rushikesh
Rushikesh
Data Engineer
Read More
Me non -tech background cha ahe BE civil 2021 passout raisoni college, suru watila kahi ch kalycha nhi bapre🤯 sagla dokyavrun jaycha n sobatche khi e&tc, computer, IT , Mech wale sagle hote but jikde sagle baki chya branch che tyana compete karna awghad hota but te loka 1:1 mentoring dyachi chngla hota ha feaature tyancha pn mala ek pratik sir ale hote te navte changle baki chya kahi hote changle class jhalyvr 1.5 mahinyat laglo me job la job
Swati
Swati
Data Engineer
Read More
They covered Azure Data Engineering rather than AWS which is good by the way in my batch syllabus they covered mostly focus was spark , python & Azure cloud practical scenario was they teched but the snowflake was not upto the mark🤗 But my most interview went on azure & spark so i don’t need snowflake mostly in my interview mostly asked question was Develop ETL/ELT workflows, Optimize data processing and storage in Azure Synapse Analytics, Implement data security and access controls to protect sensitive data in compliance with organizational and industry standards. This kind of questions mostly asked & this questions was covered in my mock so beneficial to clear my interview at Incubit , NetApp
Shamal
Shamal
@rshamal
Read More
They cover everything except Informatica or any ETL tool , Tableau, Power BI , SnowSQL scripting other thn that everything was good in in batch dec we have approximately 27 students & only 3,4 students not get placed seriously when i was hesitate to join this class bhot sare institute dekhe hai ye log kya he alag denge hume aisa tha lekin sach mai bhot kam karte sab ke upar unke batches bhi kam hote hai isliye har ek student pe kam kar sakte hai💯but ye log 1st month salary charge karte hai starting mai muje laga fees bhi bharu 1st month salary bhi socha jab palcement hojayega tab dekha hu sach mai placemetn dete hai ki nhi. Lekin salary ke liye to ye log itna kam karte hai but i think acha hai muje job to mila.
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