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Read More →Students based in Nashik can study Artificial Intelligence with Uncodemy through a structured 5–6 month instructor-led program delivered in live online sessions. Its learning path includes Python programming, Machine Learning, Deep Learning, NLP, Computer Vision, and the fundamentals of Generative AI and LLMs. Since Uncodemy has no physical training centre in Nashik, Nashik learners attend classes online. In-person classroom training is available at the Delhi and Noida centres for learners able to travel. Fee: ₹24,500 + 18% GST, total ₹28,910. EMI starting from ₹4,818/month for 6 months*.
Learn from 8+ years experienced professionals
Build real artificial intelligence test suites, not just theory
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
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Uncodemy's Artificial Intelligence training helps learners in Nashik develop skills across Python, machine learning, deep learning, NLP, computer vision and generative AI. Following the course and relevant career preparation, eligible candidates can pursue opportunities in areas such as AI Engineering, Machine Learning Engineering and Deep Learning Engineering. Placement information for Nashik learners is updated periodically and can be viewed at uncodemy.com/placement.
Artificial Intelligence focuses on developing computer-based systems that can learn from information, recognise patterns, understand inputs, and produce predictions or useful results. Machine learning and deep learning form important parts of AI, while NLP and computer vision allow systems to work with language and visual information. From recommendation algorithms and voice-based applications to fraud detection and generative AI, these technologies are increasingly integrated into digital products.
What does an AI engineer do? The work of an AI engineer can span several stages of an intelligent application, from preparing training data to deploying a working model. Engineers may build ML and DL systems, evaluate model accuracy, develop NLP or computer vision solutions, incorporate generative AI and LLM features, and expose models through APIs. This makes the profession a combination of software development, data handling, mathematics, and AI knowledge.
The three Uncodemy programs cover connected areas of artificial intelligence, yet their curriculum depth and intended outcomes are not the same. The table below provides a direct comparison.
| 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, per this sheet) | ₹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.
Learners from Nashik can study artificial intelligence through Uncodemy's 5–6 month live online program, which includes 110+ instructor-led sessions and 183+ hours of learning. The syllabus is organised into 13 modules covering the AI journey from foundational concepts to practical deployment. Topics include Python, mathematics and statistics, data preprocessing, machine learning, supervised and unsupervised methods, model evaluation, deep learning, neural networks, NLP, computer vision, generative AI, LLM fundamentals, AI applications and deployment. The course concludes with a 25-hour industry capstone and includes practical work with relevant tools throughout the training. Nashik learners attend live online sessions, while classroom training is offered at the Delhi and Noida centres for those who can travel.
Who should join this course:
Eligibility: Applicants can come from either technical or non-technical graduate backgrounds. Prior programming experience is an advantage but is not required, with Python introduced from Module 2. Module 3 also develops the mathematical and statistical concepts useful for understanding machine learning. A personal laptop and stable internet access are required to participate in practical exercises.
Plan your AI learning around the hours you are available with Uncodemy's live online batch options. Sessions follow IST timings and are offered on both weekdays and weekends. Nashik students and working professionals can first attend a free demo class and then select an upcoming batch with practical, instructor-led learning.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 16Oct | 07:30 PM – 08:30 PM | Mr. Irshad | 01Seat |
| 22Oct | 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| 26Oct | 10:30 AM – 11:30 AM | Mr. Irshad | 01Seat |
| 30Oct | 12:00 PM – 01:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Oct | 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
8+ new batches start every month. Live online batches, IST timings. Seats are limited and updated daily.
The syllabus is organised into 13 modules covering 183+ hours . The order follows how AI skills build: foundations → Python → math/stats → data preprocessing → ML fundamentals → supervised/unsupervised learning → model evaluation → deep learning → NLP → computer vision → GenAI/LLM fundamentals → deployment → industry capstone. Each module includes practical exercises with real tools, and the program closes with hands-on AI projects and an industry capstone.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Artificial Intelligence Fundamentals | 10 | Python, Jupyter Notebook |
| 2 | Python for Artificial Intelligence | 15 | Python, Jupyter Notebook, Git/GitHub |
| 3 | Mathematics & Statistics for AI | 12 | Python, NumPy, SciPy |
| 4 | Data Preprocessing & Feature Engineering | 12 | Pandas, NumPy, Matplotlib, Seaborn |
| 5 | Machine Learning Fundamentals | 15 | Scikit-learn, Pandas |
| 6 | Supervised & Unsupervised Learning | 15 | Scikit-learn, Matplotlib |
| 7 | Model Evaluation & Optimization | 10 | Scikit-learn, Seaborn |
| 8 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras, PyTorch |
| 9 | Natural Language Processing (NLP) | 12 | NLTK, spaCy, Hugging Face |
| 10 | Computer Vision & Image AI | 12 | OpenCV, PyTorch, TensorFlow |
| 11 | Generative AI & LLM Fundamentals | 15 | OpenAI APIs, Hugging Face |
| 12 | AI Applications, APIs & Deployment | 15 | FastAPI, Docker, Git/GitHub |
| 13 | AI Projects & Industry Capstone | 25 | All tools |
| Total | 183 Hours | 15+ tools | |
Completion of the full Uncodemy AI curriculum earns Nashik learners the Artificial Intelligence Program Certificate. To qualify, learners must finish the 13 modules along with their assignments and the AI Projects & Industry Capstone project. The certificate mentions the program, learning duration, tools covered and completion date, and its details can be checked online at certificate.uncodemy.com.
Practical assignments form an important part of the certification process. During the program, learners build ML, DL, NLP and computer vision projects, practise data preprocessing and complete a 25-hour AI Projects & Industry Capstone. The technology stack includes Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Meta, or any other AI vendor whose frameworks and tools are studied in this course.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Python
NumPy
Pandas
Scikit-learn
Matplotlib
Seaborn
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
OpenAI APIs
Jupyter Notebook
Git/GitHub
FastAPI
Uncodemy Edutech Pvt. Ltd. operates Uncodemy as a career-focused IT training institute with 14+ years of training experience. Learners can attend classroom programs at the Delhi and Noida centres or join live online classes from locations across India, including Nashik.
The Artificial Intelligence course focuses on building practical knowledge of modern AI workflows. Learners work with data preprocessing and feature engineering before moving into machine learning, deep learning, NLP, computer vision and generative AI. The program further covers model evaluation, optimization, deployment through APIs and a 25-hour industry capstone project.
Practical learning is supported through instructor-led sessions, assignments, projects, interview preparation and career assistance. The career support policy explains what this assistance covers, and the eligibility conditions are made available before enrolment and payment.
Nashik learners interested in specialised AI technologies can also explore LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Nashik and Maharashtra learners.
Portfolio/capstone project review:Your hands-on ML/DL/NLP/CV work and industry capstone are reviewed and refined into a portfolio an interview will find credible.
Resume & LinkedIn:We build your resume around AI/ML keywords and measurable outcomes, and align your LinkedIn profile to match.
Interview preparation:ML/DL concept questions, coding rounds, case-study discussions and AI-specific interview scenarios.
Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.
Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.
Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.
The people who actually teach this course
Uncodemy uses a separate approach for teaching and academic review. Live classes are handled by trainers, while domain reviewers independently examine the syllabus to help maintain its technical accuracy and relevance. For this Data Science program, Mr. Upendra Kumar Tiwari reviews the technical content, creating a distinct quality-check layer alongside instructor-led delivery.
Learners attending the Delhi classroom format are supported by the same faculty involved with the Noida and online training formats. Those who are evaluating the course may ask to observe part of a live class before making their enrolment decision.
Trainer and reviewer information is made available by Uncodemy, including professional backgrounds and areas of expertise, giving prospective learners an opportunity to understand the faculty connected with the course.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Analytics & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Analytics & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
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.
Data Analytics Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
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.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Analytics Trainer
Expertise
Data Analytics Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
CEO & Founder
ExpertiseCEO & 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.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Uncodemy's Artificial Intelligence training gives Nashik learners a structured route from Python fundamentals to machine learning, deep learning, NLP, computer vision and generative AI. The instructor-led program is delivered live online and includes hands-on practice, a 25-hour industry capstone and focused career preparation for AI-oriented roles.
| Role | Core Tools |
|---|---|
| AI Engineer | Python, Scikit-learn, TensorFlow |
| Machine Learning Engineer | Python, Scikit-learn, Pandas, NumPy |
| Deep Learning Engineer | TensorFlow, Keras, PyTorch |
| Computer Vision Engineer | OpenCV, PyTorch, TensorFlow |
| NLP Engineer (Junior) | NLTK, spaCy, Hugging Face |
| Generative AI Engineer | OpenAI APIs, Hugging Face, LangChain |
| 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 |
| Factor | This Program |
|---|---|
| Duration | 5–6 months |
| Learning hours | 183+ |
| Live sessions | 110+ |
| Tools | 15+ |
| Capstone | 25-hour Industry project |
| Career support | Dedicated Career & Placement Assistance |
| If you want... | Recommend |
|---|---|
| Broad AI/ML career transition covering ML, DL, NLP, CV and GenAI | This program |
| Already know GenAI/LLM basics, want ML/DL fundamentals too | This program |
| Narrow LLM application development only | Consider LLM Engineering course instead |
| Narrow retrieval-system specialisation | Consider RAG Engineering course instead |
The training spans 5–6 months and provides more than 183 hours of learning through 110+ live instructor-led sessions. Students and working professionals can select weekday or weekend batches.
You do not need to have studied Python or machine learning beforehand. The course introduces Python during Module 2 and develops the relevant maths and statistics foundation in Module 3, allowing beginners to progress through the later AI topics.
The toolset includes Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI. Together these make up the 15 tools covered by the program.
Yes. Module 8 contains 15 hours of Deep Learning & Neural Networks, Module 9 provides 12 hours of Natural Language Processing, and Module 10 includes 12 hours focused on Computer Vision & Image AI.
The final project is part of Module 13: AI Projects & Industry Capstone. It is a 25-hour practical component where learners apply the AI concepts covered during training to an end-to-end project.
All 110+ sessions are conducted live with an instructor. Recordings are available after the sessions, allowing learners to review difficult concepts and practise them again.
The base program fee is ₹24,500. With 18% GST, the total comes to ₹28,910. This stated fee applies across the cities and learning formats offered by the program.
EMI is available from ₹4,818 per month for 6 months. The actual financing arrangement can depend on the selected payment option, applicable eligibility and the terms available at the time of enrolment.
Yes. A demo class can be attended before enrolment. It gives prospective learners a chance to experience the teaching format and understand how the Artificial Intelligence curriculum is delivered.
Uncodemy offers Dedicated Career & Placement Assistance covering resume development, LinkedIn optimisation, portfolio feedback, interview preparation, mock interviews and opportunities shared through its network of 850+ companies. This support does not guarantee a job.
Entry-level AI Engineer positions are sometimes listed around ₹4–8 LPA as an indicative range. Whether a learner receives such an offer depends on their technical ability, portfolio, interview performance, employer and market conditions.
Indicative market ranges include 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 and AI Solutions Architect ₹20–35 LPA. These ranges are indicative only; actual salaries differ by position, employer, experience and skills.
Relevant job categories include AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer.
The course is open to graduates from both technical and non-technical backgrounds. It can also be considered by working professionals changing career direction, aspiring AI engineers and learners transitioning into artificial intelligence roles.
No. The figures are informational and are drawn from Uncodemy's internal records and publicly available review-platform information. Individual results can vary significantly according to skills, experience, employer, location and market conditions.
No physical classroom centre is operated in Nashik. Learners from Nashik can join the live online program, while classroom training is available at the Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) centres for those who can travel.
No. The Artificial Intelligence certificate is an independent Uncodemy credential. It is not an OpenAI, Google or Meta certification and does not imply endorsement or affiliation with those companies.
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5/5 (30+)
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