4.8 LPA
Hyderabad
Ankit Singh
Data Analyst
🔥 Most Popular in Pune
Artificial Intelligence Training Course in Pune (Live Online) by Uncodemy
Uncodemy’s Artificial Intelligence program is a 5–6 month instructor-led course that equips learners with practical skills in Python, Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI and LLM fundamentals. The program is delivered fully live online for Pune participants. Uncodemy does not operate a physical classroom in Pune; classroom training remains available at the institute’s Delhi and Noida centres for those able to travel. Program fee is ₹24,500 + 18% GST (total ₹28,910).
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Schedule a Demo
Expert Trainers :30+ Industry Trainers & Mentors
Live Projects :Hands-on AI Projects, Case Studies & Capstone
Lifetime Access :Get lifetime access to recorded sessions & materials
Career & Placement :Dedicated Career & Placement Assistance
Certified Course :Certificate of Completion from Uncodemy
Flexible Batches :Weekday & Weekend Live Online Batches
Program Details
Artificial Intelligence Training & Placement Program. Hands-on learning focused on practical AI skills and interview preparation.
Learners who complete the Artificial Intelligence program develop practical skills in machine learning, deep learning, NLP and computer vision. These competencies support applications for roles such as AI Engineer, Machine Learning Engineer and Deep Learning Engineer. Placement records for Pune learners are updated regularly — view verified outcomes at uncodemy.com/placement.
4.8 LPA
Hyderabad
4.8 LPA
India
Ashish Butola
Data Analyst
4.0 LPA
Delhi
Rajat Kashyap
Data Analyst
3.25 LPA
Pune
Sagar B. Shembade
Data Analyst
3.0 LPA
Noida
Priyanka Kumari
Data Analyst
3.0 LPA
Delhi
Shruti Saxena
Data Analyst
What is Artificial Intelligence?
Artificial Intelligence refers to the design of systems that learn patterns from data, reason about information and generate predictions or decisions. Its core disciplines include machine learning, deep learning, natural language processing and computer vision. Together these areas enable computers to recognise images, understand language, optimise processes and support automated decision-making across industries.
An AI engineer typically spends time preparing and engineering data features, training and evaluating machine-learning or deep-learning models, constructing NLP or computer-vision pipelines, integrating generative AI and LLM capabilities, and deploying models through APIs so that solutions can be used in production environments.
Artificial Intelligence vs LLM Engineering vs RAG Engineering
This comparison highlights how the broad Artificial Intelligence foundation differs from more specialised programs.
| Aspect | Artificial Intelligence | LLM Engineering | RAG Engineering |
|---|---|---|---|
| Core focus | Broad foundation across ML, DL, NLP, CV and GenAI | Building, fine-tuning & deploying LLM-powered applications | Building retrieval-grounded AI systems on enterprise knowledge |
| Coding depth | High | High | High |
| Typical entry salary | ₹4–8 LPA (Entry-Level AI Engineer) | ₹6–10 LPA (per LLM Engineering course sheet) | ₹5–9 LPA (per RAG Engineering course sheet) |
| Uncodemy program duration | 5–6 months | 5–6 months | 5–6 months |
Salary ranges are indicative and vary by role, skills, experience, location and employer.
Course Overview
The Artificial Intelligence program runs for 5–6 months and includes 110+ live sessions across approximately 183+ hours of learning. It is organised into 13 modules that progress from foundational concepts through Python, mathematics and statistics, data preprocessing, machine-learning fundamentals, supervised and unsupervised techniques, model evaluation, deep learning, NLP, computer vision, Generative AI and LLM fundamentals, deployment practices, and an industry capstone. Instruction is delivered live online for Pune learners; classroom sessions are available only at Uncodemy’s Delhi and Noida centres.
Read more ↓👥 Who should join this course?
- Pune-based developers and graduates seeking a broad AI foundation for roles in the city’s IT and product companies.
- Working professionals looking to transition into AI/ML engineering positions.
- Data professionals aiming to expand into full-stack artificial intelligence skills.
- Aspiring AI engineers who have limited or no prior machine-learning background.
- Career changers moving into artificial intelligence and related technology roles.
🎓 Eligibility Criteria
Graduates from any technical or non-technical discipline may apply. Programming fundamentals are helpful and Python is taught from Module 2 onward. Comfort with basic mathematics and statistics is useful and is developed further in Module 3. A laptop and stable internet connection are required for live online participation.
Upcoming Artificial Intelligence Course Batches for Pune Learners
8+ new batches start every month. Live online batches follow IST timings.
Weekday Batches
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| Near-term | Evening IST | Industry Trainer | Limited |
| Near-term | Morning IST | Industry Trainer | Limited |
Weekend Batches
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| Near-term | Weekend IST | Industry Trainer | Limited |
| Near-term | Weekend IST | Industry Trainer | Limited |
Exact dates and seat availability are confirmed at the time of enquiry.
Enroll Now →
Curriculum for Artificial Intelligence Training Course in Pune
The curriculum comprises 13 modules totalling 183 hours. Learning progresses systematically from artificial-intelligence fundamentals and Python through mathematics, data preparation, classical machine learning, deep learning, NLP, computer vision, Generative AI and LLM concepts, deployment, and a substantial industry capstone.
Module 1: Artificial Intelligence Fundamentals — 10 Hours
- Introduction to AI concepts and history
- Types of AI systems
- Machine learning vs deep learning overview
- Real-world AI applications
- Ethical considerations in AI
- AI project lifecycle
Module 2: Python for Artificial Intelligence — 15 Hours
- Python syntax and data structures
- NumPy for numerical computing
- Pandas for data manipulation
- Matplotlib and Seaborn visualisation
- Object-oriented programming basics
- Jupyter Notebook workflow
- Libraries essential for AI
Module 3: Mathematics & Statistics for AI — 12 Hours
- Linear algebra essentials
- Probability and distributions
- Descriptive and inferential statistics
- Calculus foundations for optimisation
- Hypothesis testing
- Matrix operations relevant to ML
Module 4: Data Preprocessing & Feature Engineering — 12 Hours
- Data cleaning techniques
- Handling missing values and outliers
- Feature scaling and encoding
- Feature selection methods
- Dimensionality reduction basics
- Pipeline construction
Module 5: Machine Learning Fundamentals — 15 Hours
- Supervised vs unsupervised learning
- Bias-variance trade-off
- Train-test split and cross-validation
- Common algorithms overview
- Model selection principles
- Scikit-learn workflow
Module 6: Supervised & Unsupervised Learning — 15 Hours
- Linear and logistic regression
- Decision trees and ensemble methods
- Support vector machines
- K-means and hierarchical clustering
- Dimensionality reduction algorithms
- Practical implementation exercises
Module 7: Model Evaluation & Optimization — 10 Hours
- Classification and regression metrics
- Confusion matrix and ROC-AUC
- Hyperparameter tuning
- Grid search and random search
- Cross-validation strategies
- Model interpretability basics
Module 8: Deep Learning & Neural Networks — 15 Hours
- Neural network architecture
- Activation functions and loss functions
- Backpropagation fundamentals
- TensorFlow and Keras introduction
- Convolutional neural networks overview
- Training deep models effectively
Module 9: Natural Language Processing (NLP) — 12 Hours
- Text preprocessing and tokenisation
- Word embeddings
- Sequence models basics
- Sentiment analysis pipelines
- Named-entity recognition concepts
- NLP libraries and practical tasks
Module 10: Computer Vision & Image AI — 12 Hours
- Image representation and preprocessing
- Convolutional neural networks for vision
- Object detection fundamentals
- OpenCV practical applications
- Transfer learning for images
- Common computer-vision pipelines
Module 11: Generative AI & LLM Fundamentals — 15 Hours
- Generative models overview
- Transformer architecture basics
- Large language model concepts
- Prompt engineering principles
- Hugging Face and OpenAI APIs introduction
- Integrating GenAI into applications
Module 12: AI Applications, APIs & Deployment — 15 Hours
- Building APIs with FastAPI
- Model serving concepts
- Containerisation basics
- Monitoring deployed models
- Git and GitHub for collaboration
- End-to-end deployment workflow
Module 13: AI Projects & Industry Capstone — 25 Hours
- Project scoping and requirements
- End-to-end ML/DL pipeline development
- NLP or computer-vision case study
- Generative AI integration
- Documentation and presentation
- Industry-style review and feedback
Curriculum Summary
| Module | Hours | Tools |
|---|---|---|
| Artificial Intelligence Fundamentals | 10 hrs | — |
| Python for Artificial Intelligence | 15 hrs | Python, NumPy, Pandas, Matplotlib, Seaborn, Jupyter |
| Mathematics & Statistics for AI | 12 hrs | — |
| Data Preprocessing & Feature Engineering | 12 hrs | Pandas, Scikit-learn |
| Machine Learning Fundamentals | 15 hrs | Scikit-learn |
| Supervised & Unsupervised Learning | 15 hrs | Scikit-learn |
| Model Evaluation & Optimization | 10 hrs | Scikit-learn |
| Deep Learning & Neural Networks | 15 hrs | TensorFlow, Keras, PyTorch |
| Natural Language Processing (NLP) | 12 hrs | Hugging Face, Python NLP libraries |
| Computer Vision & Image AI | 12 hrs | OpenCV, TensorFlow/PyTorch |
| Generative AI & LLM Fundamentals | 15 hrs | Hugging Face, OpenAI APIs |
| AI Applications, APIs & Deployment | 15 hrs | FastAPI, Git/GitHub |
| AI Projects & Industry Capstone | 25 hrs | Full stack of tools |
| Total | 183 Hours | 15+ Tools & Technologies |
Curriculum Reviewed by Mr. Irshad
Curriculum & Technical Reviewer
The curriculum has been designed and technically reviewed by expert industry professional Mr. Irshad, with additional review by Mr. Upendra Kumar Tiwari. 183+ Hours of Learning | 110+ Live Sessions | 15+ Tools & Technologies
⬇ Download Curriculum
Get Your Artificial Intelligence Certification In Pune
Upon successful completion of the program, learners receive the Uncodemy Artificial Intelligence Program Certificate. The certificate records the program name, duration, tools covered and completion date, and includes a verification reference that can be checked online.
The certificate is linked to the hands-on machine-learning, deep-learning, NLP and computer-vision projects completed during the course, culminating in the AI Projects & Industry Capstone module.
Certificates are independently issued by Uncodemy and are not affiliated with OpenAI, Google, Meta or any third-party AI vendor whose frameworks are taught in the program.
Key Benefits of Our Artificial Intelligence Certification:
- Program Completion: Confirms successful finish of the full 5–6 month curriculum.
- Online Verification: Certificate authenticity can be checked via the official portal.
- Practical Learning: Reflects project work and the industry capstone.
Uncodemy Certificate Verification — Online Certificate Verification & Download — certificate.uncodemy.com
Apply Now →
Introducing Uncodemy
Uncodemy is a career-focused IT training institute operated by Uncodemy Edutech Pvt. Ltd. With more than 14 years of experience, the institute runs classroom centres in Delhi and Noida while delivering live online classes to learners across India, including Pune.
In the Artificial Intelligence program, participants build machine-learning models, complete deep-learning projects, construct NLP and computer-vision pipelines, integrate Generative AI capabilities and finish an industry-oriented capstone.
Sessions are instructor-led and supported by assignments, projects, interview preparation and career assistance. Career support policy and eligibility conditions are shared before enrolment.
Other courses available for Pune learners
Other courses available for Pune learners include LLM Engineering, RAG Engineering, AI Security, and Generative AI & Agentic AI programs.
Career support includes:
- Portfolio and capstone project review
- Resume building and LinkedIn optimisation
- Interview preparation focused on ML/DL concepts, coding rounds and case-study discussions
- Mock interviews
- Opportunity sharing through the 850+ company hiring network
- Continued support after the program
Dedicated Career & Placement Assistance is provided; Uncodemy does not guarantee employment or any specific outcome.
Review Ratings:
- Google 4.7/5 (500+)
- Justdial 4.7/5 (500+)
- Sulekha 5/5 (30+)
- MouthShut 4/5 (130+)
- Trustindex 5/5 (54+)
- Facebook 5/5
1,200+ Reviews Across Major Platforms*
Instructors
The people who actually teach this course
Live sessions are conducted by the trainer team. Uncodemy works with 30+ industry expert trainers who collectively bring more than 10 years of corporate training experience.*
Uncodemy keeps the roles of trainers (who deliver live sessions) and domain reviewers (who verify curriculum accuracy) distinct. For this Artificial Intelligence program, curriculum and technical content are reviewed by Mr. Irshad, with additional review by Mr. Upendra Kumar Tiwari.
Every trainer and reviewer is listed by name together with profile links where available.
*Figures represent institute-level averages and may vary by trainer, cohort and location.
Mr. Upendra Kumar Tiwari
Senior Data Science Trainer
Expertise
About
15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Live projects
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Mr. Irshad Khan
AI, Data Analytics & Data Science Trainer
Expertise
About
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Full expertise
Python · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
Live projects
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Mr. Syed Najeeb
Data Analytics & AI Trainer
Expertise
About
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
Full expertise
Python · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
Live projects
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Mr. Kunal Arora
Data Analytics Trainer
Expertise
About
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Full expertise
Python · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
Live projects
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Ms. Rachna Verma
Data Analytics Trainer
Expertise
About
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Full expertise
Advanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Live projects
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Mr. Abhi
Data Analytics Trainer
Expertise
Mr. Anshul
Data Analytics Trainer
Expertise
Dr. Vijay K. Gupta
MD & CEO
Expertise
About
Founder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Live projects
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
Gangesh Kumar Gaunr
CEO & Founder
Expertise
About
CEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Live projects
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Google Reviews
What our learners say
Verified Google reviews from our Artificial Intelligence learners
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Enroll in Our Artificial Intelligence Training for Pune Learners Today!
Join the live online Artificial Intelligence program designed for Pune learners. Build practical skills across machine learning, deep learning, NLP, computer vision and Generative AI while receiving dedicated career support. Seats in upcoming batches are limited — reserve your place and begin your AI journey with Uncodemy.
AI Engineer Jobs and Career Scope in Pune
Pune continues to expand as a major technology and product development hub. The city’s IT parks in Hinjewadi, Kharadi and Magarpatta, together with its established automotive and manufacturing technology base, create sustained demand for professionals who can design, train and deploy artificial-intelligence solutions. Companies across IT services, product engineering, automotive tech, fintech and related sectors look for candidates who demonstrate solid machine-learning fundamentals, coding ability and a portfolio of real projects.
Interviews typically emphasise core ML concepts, practical coding exercises, model evaluation understanding and the depth of project work. Candidates who can discuss data pipelines, model choices, performance metrics and deployment considerations tend to perform more strongly. The Artificial Intelligence course equips learners with the breadth of skills needed to compete for entry-level and mid-level AI engineering roles in this environment. Continuous learning and portfolio development remain important after the program, as market expectations evolve with new frameworks and application areas.
Job Roles After This Course
Graduates of the program are prepared to pursue a range of artificial-intelligence positions that require a combination of classical machine learning, deep learning and applied project experience.
| Role | Core Tools |
|---|---|
| AI Engineer | Python, Scikit-learn, TensorFlow/PyTorch |
| Machine Learning Engineer | Scikit-learn, Pandas, model evaluation tools |
| Deep Learning Engineer | TensorFlow, Keras, PyTorch |
| Computer Vision Engineer | OpenCV, CNNs, TensorFlow/PyTorch |
| NLP Engineer (Junior) | Hugging Face, text processing libraries |
| Generative AI Engineer | Hugging Face, OpenAI APIs, transformers |
With two to four years of additional experience and continued skill development, many professionals progress toward senior AI engineer or specialised architect responsibilities. Career paths vary according to the domain, the depth of project work and market conditions at the time of application.
AI Engineer Salary in Pune — Role-wise
Salary expectations in Pune reflect the city’s mix of IT services, product companies and specialised technology employers. Compensation depends on skills demonstrated, project portfolio quality, prior experience and the specific employer. The ranges below are indicative market figures and should not be treated as guaranteed outcomes.
| Role | Salary Range |
|---|---|
| Entry-Level AI Engineer | ₹4–8 LPA |
| Machine Learning Engineer | ₹6–12 LPA |
| AI/ML Engineer | ₹8–16 LPA |
| Deep Learning Engineer | ₹8–18 LPA |
| Generative AI Engineer | ₹8–18 LPA |
| Computer Vision Engineer | ₹7–16 LPA |
| Senior AI Engineer | ₹15–28 LPA |
| AI Solutions Architect | ₹20–35 LPA |
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: September 2026.
Salary ranges are indicative market ranges and should not be presented as guaranteed placement outcomes. Actual offers vary by role, skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.
Top Sectors Hiring AI Talent in Pune
Uncodemy’s hiring network of 850+ companies includes organisations active in the sectors that recruit AI professionals in and around Pune.
- IT services and product engineering firms that build AI-enabled solutions for clients
- Automotive and manufacturing technology companies applying computer vision and predictive models
- Fintech organisations using machine learning for risk, personalisation and automation
- E-commerce platforms that rely on recommendation systems and demand forecasting
- Healthcare-tech teams developing diagnostic support and data-driven clinical tools
Demand continues to grow as more organisations move AI projects from pilot to production stages.
How to Become an AI Engineer — Step by Step
A structured path helps learners move from foundational knowledge to job-ready skills.
- Build Python fundamentals for data handling and scripting.
- Strengthen mathematics and statistics required for modelling.
- Master data preprocessing and feature engineering techniques.
- Learn core machine-learning algorithms and evaluation methods.
- Progress into deep learning and neural-network architectures.
- Apply skills to NLP and computer-vision problems.
- Explore Generative AI, deployment practices and complete a capstone project.
With consistent study over 5–6 months, most learners complete the full curriculum and associated projects.
How This Course Compares to Other AI Courses
This program provides a broad foundation across the major branches of artificial intelligence, while specialised courses focus more narrowly.
| Factor | This Program |
|---|---|
| Duration | 5–6 months |
| Learning hours | 183+ Hours |
| Live sessions | 110+ |
| Tools | 15+ |
| Capstone | 25-hour Industry project |
| Career support | Dedicated Career & Placement Assistance |
Compared with Uncodemy’s LLM Engineering, RAG Engineering and AI Security courses, the Artificial Intelligence program offers wider coverage of classical machine learning, deep learning, NLP and computer vision before introducing Generative AI concepts. Learners who already possess strong GenAI or retrieval-system experience may prefer the specialised tracks; those seeking a comprehensive base typically begin with this program.
Why Live Online for Pune Learners?
Pune learners join the same live online batches, trainers and curriculum used for Uncodemy’s classroom programs. Sessions are conducted in real time with interactive doubt-clearing, assignments and project reviews. Recordings remain available for revision. This model allows participants across Pune and surrounding areas to attend without relocating. Those who prefer in-person classroom training can travel to Uncodemy’s established centres in Delhi (Laxmi Nagar / Shakarpur) and Noida (Sector 1). No physical Uncodemy classroom currently operates in Pune; the live online format ensures consistent quality and access for local learners.
Is this course right for you?
| If you want… | Recommendation |
|---|---|
| Broad AI/ML career transition | This program |
| Already know GenAI/LLM basics and want ML/DL foundations too | This program |
| Narrow LLM application development only | Consider LLM Engineering course |
| Narrow retrieval-system specialisation | Consider RAG Engineering course |
Why Trust This Page? Discover Why Students Choose Uncodemy
How we maintain this page:
- Content written by: Mr. Rahul
- Content rechecked and verified by: Mr. Irshad
- Course curriculum verified by: Mr. Irshad
- Technical content verified by: Mr. Irshad
- Fee verified by: Admin Department
- Placement figures sourced from internal placement records
- Review counts verified against respective third-party platforms
- Last reviewed: 28 Sep 2026
Written by: Mr. Rahul · Reviewed by: Mr. Upendra Kumar Tiwari · Final editorial check: Mr. Gangesh Gaunr, Director at Uncodemy
Application Form
Frequently Asked Questions
1. What is the duration of the Artificial Intelligence course in Pune?
The program runs for 5–6 months. It includes 110+ live sessions and approximately 183 hours of structured learning spread across weekday or weekend batches.
2. Do I need prior Python or ML experience?
Prior experience is helpful but not mandatory. Python is taught from Module 2, and core machine-learning concepts are introduced progressively from the foundations onward.
3. What tools are covered in this course?
Fifteen tools and technologies are covered: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
4. Does the course cover Deep Learning, NLP and Computer Vision?
Yes. Deep Learning & Neural Networks (Module 8), Natural Language Processing (Module 9) and Computer Vision & Image AI (Module 10) form dedicated parts of the curriculum.
5. What is the capstone project?
The final module, AI Projects & Industry Capstone, allocates 25 hours to end-to-end project work that integrates the skills developed throughout the program.
6. Are the classes live or pre-recorded?
Classes are live (110+ sessions). Recordings are provided for revision so learners can revisit topics as needed.
7. What is the fee for the Artificial Intelligence course in Pune?
The program fee is ₹24,500 + 18% GST, bringing the total to ₹28,910. The fee is the same across modes and locations.
8. Are EMI options available?
Yes. EMI starts from ₹4,818 per month for 6 months. Amount, tenure and eligibility may vary depending on the applicable payment or financing option.
9. Is there a demo or trial class before I enrol?
Prospective learners can request information about available orientation or demo sessions at the time of enquiry.
10. Do you provide placement assistance?
Yes. Dedicated Career & Placement Assistance is provided through a network of 850+ companies. Uncodemy does not guarantee employment.
11. Can I get an entry-level AI Engineer role after this course?
The indicative range for Entry-Level AI Engineer roles is ₹4–8 LPA. Actual outcomes depend on skills, experience, employer and market conditions; no specific result is guaranteed.
12. What is the salary of an AI Engineer in Pune?
Indicative ranges appear in the salary table on this page (Entry-Level AI Engineer ₹4–8 LPA and higher for specialised or senior roles). These figures are market indicators only and are not guaranteed placement outcomes.
13. What job roles can I apply for after this course?
Typical roles include AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer.
14. Who is eligible for this Artificial Intelligence course?
Graduates of any discipline, working professionals, aspiring AI engineers and career changers may enrol. Programming fundamentals are helpful; Python is taught from the second module.
15. Are the salary, placement and review figures on this page guaranteed?
No. Salary ranges are indicative, placement figures are drawn from internal records, and review counts reflect publicly available platform data that may change. Uncodemy does not guarantee any specific salary or employment outcome.
16. Does Uncodemy have a classroom centre in Pune?
No. Pune learners join fully live online. Uncodemy’s classroom centres are located in Delhi (Laxmi Nagar / Shakarpur) and Noida (Sector 1).
17. Is Uncodemy’s Artificial Intelligence certificate affiliated with OpenAI, Google or Meta?
No. The certificate is issued independently by Uncodemy and is not affiliated with any third-party AI vendor.
Nearest Classroom Training Centres
The Artificial Intelligence course is delivered fully live online to Pune learners. Those interested in visiting Uncodemy’s physical training centres can find them in Delhi and Noida.
Read more ↓Noida Centre
B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Delhi Centre
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Phone+91 9818366550 / +91 8766313646
Emailinfo@uncodemy.com
📍 Noida Centre — Open in Google Maps