100% Industry Oriented Training

Artificial Intelligence
For working Professionals |

Prime Point AI institute is Pune’s best AI Course Training Institute, conducting training and mentorship in the field of Artificial Intelligence and Generative AI providing Placement Support, Live Industry Project, Interview Preparation along with opportunities in the top companies of the industry.

Nasscom Accreditd, ISO Certified, In Association with IBM Certification
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20+

Training Courses

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50+

Instructors

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100%

Career Guidance

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29k+

Hours of Training

AI course for working professionals in Pune with 100% Placement Assistance

During 2025, AI technologies have become central to operations in manufacturing, finance, healthcare, retail, and technology industries. Professionals lacking machine learning skills face growing challenges as organizations prioritize hiring candidates with practical AI implementation experience. Most training providers deliver fixed-schedule programs that don’t accommodate working individuals who need evening classes and dedicated career transition support. Prime Point has come with an AI course for working professionals in Pune that too with placement support.

Prime Point runs a specialized AI course for working professionals in Pune for employed professionals seeking technical skills and job placement assistance. From October through December 2024, the institute completed training for 497 working individuals across different AI specializations. Graduates from these sessions joined 109 employers spanning multiple industries and geographic regions.

Structured Specifically for Working Professionals

The AI course for working professionals in Pune runs during evening hours and weekends to fit around work commitments while covering essential AI concepts comprehensively. Students work through supervised classification and regression tasks, unsupervised pattern recognition methods, deep network architectures, and reinforcement learning applications via practical projects. Technical instruction incorporates TensorFlow, PyTorch, Keras, and scikit-learn libraries as used in operational environments. Course modules examine linear and logistic regression, decision trees, convolutional networks for image processing, recurrent networks for sequential data, language model development, and vision system creation. Project work replicates actual problems encountered by data teams when developing forecasting systems, content recommendation platforms, and process automation tools.

Highlights of AI course for working professionals in Pune

Career assistance continues beyond course completion through the entire job search period. LinkedIn optimization sessions guide professionals in structuring profiles to increase visibility among recruiters hiring for AI positions. These workshops are facilitated by advisors familiar with talent acquisition practices in the technology sector. Resume preparation training emphasizes formatting techniques and keyword selection that successfully navigates automated applicant tracking systems. 

Among earlier participants, 79% progressed beyond initial application screening following profile improvements. Interview rehearsal includes technical assessment practice, architecture discussion preparation, project portfolio presentation, and behavioral response development. Detailed critiques address explanation methods, technical depth, and delivery style during practice sessions simulating actual hiring conversations with technical leads and department managers.

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NASSCOM Accredited

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Career Guidance

Internship Letter

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ISO Certified 9001:2015

Live Project Mentorship

Study Material

Online & Classroom Classes

ATS Resume Sessions

Linkedin Optimization

Syllabus for AI Training in Pune for working professionals

  • This is all about what AI is and how it works.
  • You’ll see how AI is used in stuff like phone apps or robots.
  • It talks about how AI started a long time ago and got better.
  • You’ll learn how AI is different from regular computer programs.
  • Here, you’ll get the basics of AI and what it can do.
  • It explains the types of AI, like the kind in games or self-driving cars.
  • You’ll see how AI learns by looking at examples.
  • It also shows some cool AI tools you can play with.
  • This module tells you what machine learning is and why it’s part of AI.
  • You’ll learn how computers can learn to do things like spot spam emails.
  • It covers the steps of a machine learning project, like finding data.
  • You’ll see how ML is different from regular coding.
  • This is about learning Python, a language used for machine learning.
  • You’ll start with simple things like printing words on the screen.
  • It shows how to use Python to store lists of things, like names.
  • You’ll also do basic math with Python, like adding numbers.
  • This module covers the math you need to understand machine learning.
  • You’ll learn about averages, like finding the middle number in a list.
  • It explains probability, like guessing if a coin will show heads.
  • You’ll also see how to use a number line to understand data.
  • Here, you’ll learn what an algorithm is—it’s like a set of steps to follow.
  • You’ll practice making a simple plan, like how to make a sandwich.
  • It teaches basic coding ideas, like repeating steps or making choices.
  • You’ll also learn how to fix small mistakes in your code.
  • This module shows how machine learning fits into AI.
  • You’ll see how ML helps with things like recognizing pictures.
  • It explains the difference between learning with examples and without.
  • You’ll also learn why having good data is so important for ML.
  • This is about what data is, like numbers or names you collect.
  • You’ll learn how to gather data, like writing down your friends’ ages.
  • It shows how to organize data in a table, like in Excel.
  • You’ll see why clean data helps machine learning work better.
  • This module teaches how to fix messy data before using it.
  • You’ll learn to spot missing stuff, like if a number is missing in a list.
  • It shows how to fix mistakes, like extra spaces in names.
  • You’ll also learn how to make all your data look the same, like fixing formats.
  • Here, you’ll learn how to explore your data to understand it.
  • You’ll make simple charts to see patterns, like a bar graph.
  • It teaches how to count things, like how many people like a color.
  • You’ll ask questions about your data, like finding the biggest number.
  • This is about teaching a computer with examples, like a teacher helps you.
  • You’ll learn the difference between predicting numbers and categories.
  • It shows how to use labeled data, like saying “this is a cat” in a picture.
  • You’ll see why this method is used for things like predicting grades.
  • This module explains how to predict numbers using a straight line.
  • You’ll learn how to draw a line through points on a graph.
  • It shows how to guess something, like someone’s height based on age.
  • You’ll also see why some guesses might not be exactly right.
  • Here, you’ll learn how to predict yes or no answers, like “will it rain?”
  • It explains what probability means when making choices.
  • You’ll use examples to teach the computer to pick between two things.
  • It shows a simple case, like guessing if a fruit is an apple or not.
  • This is about making decisions with a tree of yes/no questions.
  • You’ll make a tree to decide something, like what to wear today.
  • It shows how a computer uses this tree to guess things.
  • You’ll learn why decision trees are easy to understand and use.
  • This module explains random forests, which is like using many decision trees.
  • You’ll see why more trees make better guesses than just one.
  • It shows how this method can solve bigger problems.
  • You’ll try a simple example, like guessing someone’s favorite food.
  • This is about separating things into groups using a line.
  • You’ll learn how to split two groups, like cats and dogs, on a graph.
  • It explains why the line needs space between the groups to work well.
  • You’ll try a simple example, like sorting toys by color.
  • This module teaches how to guess things by looking at similar examples.
  • You’ll learn how to find “close” things, like friends with the same hobbies.
  • It shows how to pick how many examples to look at for a good guess.
  • You’ll try an example, like guessing someone’s favorite sport.
  • Here, you’ll learn how to guess things using clues, like a detective.
  • It shows how to use those clues to make a smart guess.
  • You’ll try an example, like figuring out if an email is spam.
  • You’ll see why this method is quick and works well for simple tasks.
  • This is about letting the computer find patterns without a teacher.
  • You’ll learn how to group similar things, like sorting candies by shape.
  • It shows how to spot patterns in data without being told what to find.
  • You’ll see why this is helpful for discovering new ideas.
  • This module is about grouping things into teams without labels.
  • You’ll learn how to pick how many teams to make, like 3 or 4.
  • It shows a simple example, like grouping toys by size.
  • You’ll also learn how to check if your groups make sense.
  • This is about teaching computers to understand words and sentences.
  • You’ll learn how to break a sentence into words, like splitting a story.
  • It shows examples, like how your phone fixes spelling mistakes.
  • You’ll see why this is important for things like talking to a chatbot.
  • This module explains neural networks, which are like a computer brain.
  • You’ll learn how they have layers, kind of like stacking blocks.
  • It shows a simple example, like recognizing a happy face in a drawing.
  • You’ll see why neural networks can learn harder things than other methods.
  • This is about helping computers understand pictures, like photos.
  • You’ll learn how the computer looks at small parts of a picture first.
  • It shows an example, like finding a dog in a photo.
  • You’ll see why this is used in apps, like for face filters.
  • This module teaches how computers can remember things in order.
  • You’ll learn how it works with things like sentences or lists.
  • It shows an example, like guessing the next word when you type.
  • You’ll see why this is helpful for things like speech in videos.
  • This is about how AI can make new things, like pictures or stories.
  • You’ll learn how it can create something new, like a drawing of a cat.
  • It shows how computers learn to be creative with examples.
  • You’ll see fun examples, like making a short song or poem.

Want to know more about our training courses & respective syllabus then download our brochure & explore.

Course Details for AI Course for working professionals

Training
0 k+
Course Fee
0 -70K
Instructors
0 +
Job Support
0 %

Online, Classroom & Hybrid Training Providing Flexibility

Online AI course for working professionals in Pune at Prime Point replicates the classroom environment through interactive sessions rather than passive video viewing. The online format maintains identical curriculum content, instructor quality, practical workshops, and program features as in-person classes. Online participants can attend laboratory sessions at the physical facility and receive lecture recordings through the Learning Management System, which is customized to individual learning requirements and covers topics including neural network architectures.

Data science course in pune placement Online Offline Hybrid Mode Of Training

Hybrid training allows students to attend sessions based on their schedule convenience. This format suits working professionals who can participate in weekend classroom sessions while accessing weekday content through recordings. Participants who miss live sessions receive recorded versions automatically. The hybrid model includes the same live projects, practical labs, and career development sessions as other formats while providing access to the personalized Learning Management System for self-paced review of technical concepts.

Tools covered in Artificial Intelligence Course for working professionals in Pune with Placement Support

Python
Pandas
Matplotlib
Keras
Numpy
Seaborn
Tenserflow
Scikit learn
Power Bi
Anaconda
R programming
Tableau

6+ Generative AI tools Covered!

Chatgpt
claude ai
Microsoft Co Pilot
Midjourney
Daal e
Leonardo AI

Batch Schedule for AI Course for Working Professionals

Batch Schedule Timings
Mon to Sat Weekday Batch 10:00 AM - 11:00 PM
Sun to Sat Weekend Batch 01:00 PM - 03:00 PM
Mon to Friday Hybrid Batch 01:00 PM - 03:00 PM
Mon to Friday Classroom Training 05:00 PM - 07:00 PM

Benefits of Learning AI Course in pune for working professionals

Which is the best institute for AI Course in Pune in 2025?

AI Professional Earnings in 2025

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Testimonials SATISFIED STUDENTS

Let’s hear from the students themselves what they say about Prime Point’s Artificial Intelligence Training in Pune and what’s their experience during and after the training for artificial intelligence.

Office Email

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info@primepointinstitute.com

Office Phone

+91 8446273688

Office Address

Office No. 7, First Floor, Quantum Works Awfis Building, Near Nal Stop, Metro Station, Erandwane, Pune, Maharashtra - 411004

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Try Prime Point’s Machine Learning Course In Pune with Career Guidance. And it also comes with bucnh of other features that you are seeking that too inclusive course fee.

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FAQs Related to Artificial intelligence

Tuition ranges from ₹45,000 to ₹65,000 based on delivery method. In-person instruction carries higher fees than remote learning. Blended formats price between these options. Call admissions for exact figures and current promotions.

 Remote participation costs less than physical attendance. Teaching quality, technical content, lab work, and career help stay consistent regardless of format choice. Combination packages split the price difference.

Weekday tracks finish in 14-16 weeks. Weekend tracks need 18-20 weeks because they meet Saturdays and Sundays only. Employed individuals usually pick weekend timing.

Timetables fit around jobs. Weekend batches operate 9 AM-5 PM Saturdays and Sundays. Evening batches run 7 PM-9:30 PM on weeknights after work hours.

No prior background required. Lessons start with statistical methods and prediction algorithms before moving into neural systems, vision tasks, language tools, and content generation. Knowing Python helps but isn't mandatory.

 Initial weeks cover prediction, grouping, and pattern recognition. Later phases teach layered networks, image processors, sequence handlers, attention mechanisms, object finders, and text creators. Complexity grows steadily.

 Students build functioning software during instruction. Examples include recommendation platforms, fraud spotters, chatbots, image classifiers, and trend forecasters based on business problems.

 Each person completes 4-6 applications across different AI areas. Assignments match what employers want and create portfolio pieces for job hunting.

 Work includes predicting customer exits, measuring sentiment from social posts, creating product matchers, reading medical images, forecasting stock movements, and sorting emails using genuine data.

 Services include resume writing, LinkedIn updates, practice interviews, company introductions, and opening alerts. Staff connect graduates directly with hiring firms.

 Help continues six months after finishing. During this window you get referrals, job alerts, and coaching until landing a position.

 About 73-79% receive interview requests within 90 days of graduation. Final results depend on performance, skills shown, and market demand.

 Weekend classes or blended options suit working people. These give lab access while keeping your job. Remote works for irregular schedules or distance issues.

 Recordings post within 24 hours. Weekly review sessions let teachers answer questions about missed material.