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Pre-requisite – Foundation of Python, Data Science & Machine Learning (crash course available)
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âś… Internship and career mentorship programs till placements
Note: Separate batch & extra sessions for NON-IT Professionals to build strong programming skills from scratch.
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I recently completed the SQL module at Gamaka AI Institute, Pune, and I’m very satisfied with the training. The sessions were well-structured, with concepts explained clearly and supported by practical, real-world examples. The trainer made sure to cover both fundamentals and advanced topics, ensuring a strong understanding of SQL. The hands-on exercises were especially helpful in applying what I learned. Overall, it was a valuable and engaging learning experience, and I would recommend this institute to anyone looking to build strong SQL skills.
I had a wonderful learning experience with Gamaka AI Classes. The Data Science and AI course is very well-structured and covers everything from the basics to advanced concepts in a clear and practical way. The instructors are knowledgeable, patient, and always ready to help, making even complex topics easy to understand. I highly recommend Gamaka AI Classes to anyone looking to start or advance their career in Data Science and Artificial Intelligence. It’s definitely worth the investment!
Supportive teaching staff and good nutritional environment for students. I choose a Data Analytics with AI training at Institute and I am not belong to IT background but the teachers helps me and give confidence as well as my knowledge in python.. And Im sure, Gamaka AI Institute helps you to boost your career.
I am currently enrolled in the Data Science course at Gamaka AI Institute, Pune (Kothrud branch). I have successfully completed the Python module (Basic to Advanced), which covered key topics such as Python fundamentals, data structures, functions, object-oriented programming (OOP), file handling, and essential libraries including NumPy, Pandas, and Matplotlib. The module included hands-on practice, assignments, and mini-projects, providing a strong foundation for further learning in Data Science and Machine Learning
I have enrolled in the Data Science course at Gamaka AI, and the training is helping me learn Python from basic to advanced level. The teaching is clear, practical, and easy to follow, with hands-on practice and real-world examples. I’m excited for the upcoming modules like SQL, Machine Learning, and Data Visualization. A great place to build strong skills in data science.
These top-tier companies represent the pinnacle of career opportunities available through our placement services. Joining forces with industry leaders, we ensure your success by connecting you with the best possible placements.
Our curriculum empowers you with the expertise needed to thrive in your career. Through systematic learning and practical industry projects, you'll adeptly address intricate challenges and remain at the forefront of the AI & ML field.
Upon successful completion of this data science course, you’ll earn a Certificate. The certificate adds the required weight in any portfolio.
This certificate will be issued to those pursuing internships with our development team or clients with whom we have tie-ups. Data Science Internship gives opportunity to learn from professionals, gain practical experience in this field, and build a robust professional network.
Business & Data Analysts don’t just present data; they tell a story. They use data insights to explain trends, support recommendations, and persuade stakeholders to take action.
BDA helps with fraud detection, risk assessment, algorithmic trading, and personalized financial products.
BDA plays a role in medical diagnosis, drug discovery, patient care optimization, and personalized medicine.
Businesses leverage BDA for customer segmentation, targeted advertising, campaign optimization, and measuring marketing effectiveness.
BDA aids in product recommendation, inventory management, supply chain optimization, and dynamic pricing strategies.
Data science is used for fraud detection, risk assessment, and algorithmic trading.
BDA can help with talent acquisition, employee performance evaluation, and creating a more data-driven work environment.
BDA optimizes delivery routes, predicts demand, and improves overall logistics efficiency.
BDA optimizes delivery routes, predicts demand, and improves overall logistics efficiency.
Generative AI (GenAI) is a technology that automates code generation, improves software development processes, and enables the creation of new AI-powered features within applications
Developers use GenAI tools to accelerate tasks like writing and debugging code, documenting software, and creating automated tests, thereby enhancing productivity and allowing them to focus on more complex problem-solving and innovation.
This program equips you with the skills to:
Gain practical experience by real-world projects and participating in an internship.
Learn from data science professionals with real-world experience who will guide you through the program and answer your questions.
Our curriculum is designed to equip you with the specific skills and knowledge that are in high demand by today’s data science employers.
We’ll equip you with the skills and support you need to land your dream data science job.
Immerse yourself in real-world scenarios by exploring how data science is applied in various industries.
Use AI to clean, transform, and organize data efficiently. Saves time spent on repetitive data tasks.
(softcopies of notes and interview prep guides)
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with experience at top MNCs
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Generative AI is a branch of artificial intelligence that focuses on creating new content or data from scratch.
For example, generative AI can produce images, text, music, speech, code, and more. Generative AI uses different techniques and models to learn from existing data and generate novel outputs that are realistic and diverse.
Start by mastering Python and its data science libraries, then learn the foundations of machine learning and deep learning, including common models like GANs and Transformers. Next, specialize in relevant areas such as Natural Language Processing (NLP) and Computer Vision. Finally, gain hands-on experience through projects, leveraging frameworks like PyTorch or Keras, and familiarize yourself with pre-built models and fine-tuning techniques.
Yes Gamaka AI provided foundation course of 3 months before starting Gen Ai for Developers course.
Imagine a super-smart computer that can create new things. It’s like a really creative friend who can draw pictures, write stories, or even make music. But instead of just copying things it’s seen before, it can use its knowledge to make something completely new and different.
For example, if you showed this computer lots of pictures of cats, it could learn what cats look like. Then, if you asked it to draw a cat, it could create a picture of a cat that it’s never seen before. It might even add its own creative touches, like giving the cat a funny hat or a special toy.
This is what generative AI does. It learns from lots of information and then uses that knowledge to create new and original things. It’s like having a super-creative friend who can help you with all sorts of things!
Generative AI is a type of artificial intelligence that creates new content, like pictures, text, music, or code.
Some common applications of generative AI are:
Content Creation: AI can assist creators in generating a wide range of content, including artwork, writing, design, and development. One example is GPT-3, a language model that can produce coherent and fluent text on different subjects and in various styles.
Data Augmentation: Generative AI can help improve data sets by creating synthetic data to enhance machine learning models. For instance, StyleGAN is a generative adversarial network that generates realistic face images that don’t actually exist.
Simulation and Modelling: Generative AI can assist experts in simulating and modeling intricate phenomena and systems that are challenging to directly observe or measure. An example of this is CycleGAN, a generative model that can convert images from one domain to another, like transforming photos into paintings or horses into zebras.
Generative AI works by learning from a large amount of data, such as books, photos, songs, or programs, and then using mathematical models to generate new data that is similar to the original data.
For example, it can write a poem based on a topic, or draw a picture based on a description. It is used for many purposes, such as entertainment, education, research, or innovation.
For example, it can create realistic images of faces that do not exist, or compose original music based on a genre or style.
â—Ź Job Displacement Threats
Recent studies suggest that 15–30% of jobs in developed nations may be at risk due to AI automation
â—Ź Widespread Exposure
EY estimates that 59% of jobs globally are highly or moderately exposed to Gen AI, with 66% in the U.S. (about 104 million jobs) at risk.
â—Ź Early Disruption Patterns
AI is currently displacing outsourced and offshore roles more than in-house jobs. In the U.S., only about 3% of jobs are affected now, but this could rise to up to 27% over time.
â—Ź High-Wage Work Under Threat
Generative AI is particularly targeting higher-paid professions—like those in legal, financial, or technical services—which translates to potentially greater cost savings for firms.
â—Ź Long-Term Predictions
Morgan Stanley speculates that up to 90% of existing jobs might be impacted, meaning workers will need to reskill or shift into emerging roles like “AI ethicists” or “AI supply chain analysts”
â—Ź AI Roles Command Higher Pay and Perks
AI-related job listings not only tend to offer elevated wages but also significantly more non-monetary benefits—such as enhanced parental leave and remote work options. Roles blending high AI demand with such perks see salary boosts of 12% to 20% arXiv.
â—Ź High Exposure, High Wages Correlation
Sectors with greater AI exposure—like finance, information services, and technical fields (average salaries $85K–$92K)—see a correlation between high pay and Gen AI involvement EY.
â—Ź Productivity Gains vs. Role Evolution
In industries like software, Gen AI doesn't necessarily replace developers but raises productivity—junior developers, for instance, have seen 27–39% productivity boosts, while senior engineers improved by 8–13% Reddit.
This program equips you with skills for various data-related roles, such as Business Analyst, Data Analyst, Marketing Analyst, and Business Intelligence Analyst.
The program offers an optional 3-month internship opportunity to gain valuable industry experience and apply your acquired skills in a real-world setting.
We provide comprehensive career support, including resume building workshops, mock interviews, and access to our industry network to help you with job placement (subject to terms and conditions).
Gamaka AI Solutions is an advanced training center which conducts various professional training courses for various technologies.
Address: Office No 3, 1st Floor, Balaji Budling, DP Road, Kothrud, Pune – 411038
Call: +91 737-848-3656
Email: enquiry@gamakaai.com
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