Choose the best training program according to your career.
Improve the performance of your business with our innovative Industrial Training Program.
Read More →
Our instructor-led training classes are designed to make you an expert.
Read More →
Real-life case studies are a great way to demonstrate your practical knowledge.
Read More →
Explore blogs, latest technologies and industry updates with practical examples.
Read More →
Browse all available training programs and choose the right one for your career.
Read More →Know more about who we are and what we stand for.
Discover our mission to equip individuals with essential IT skills and industry expertise.
Read More →Learn, practice and plan your career — bilkul free.
Book a free video counselling session and pick the right course for you.
Read More →Uncodemy makes this Artificial Intelligence certification available only through live online instruction for candidates stationed in Navi Mumbai, spread over a five-to-six-month instructor-guided window. Syllabus content moves through Python, Machine Learning, Deep Learning, NLP, Computer Vision, along with Generative AI and LLM essentials. Because Uncodemy has no establishment in Navi Mumbai, the whole course runs online — learners who prefer in-person classroom teaching can attend the Delhi or Noida centres. Pricing: ₹24,500 plus 18% GST, reaching ₹28,910 overall. Monthly instalment plans start at ₹4,818 for six 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
Weekday & Weekend Online & Offline
Individuals completing Uncodemy's Artificial Intelligence curriculum gain practical mastery over Python, machine learning, deep learning, NLP, computer vision, and generative AI. After instruction and career-readiness preparation wrap up, qualified candidates may chase roles including AI Engineer, Machine Learning Engineer, Deep Learning Engineer and closely-related positions. Placement information for Navi Mumbai participants is refreshed on a rolling basis — authenticated results are posted at uncodemy.com/placement.
Artificial Intelligence refers to the engineering practice of building computational systems capable of noticing patterns inside data, reasoning over those detected patterns, and issuing predictions or verdicts without explicit programming written for every possible situation. Machine learning, deep learning, natural language processing, and computer vision comprise its foundational branches. AI-driven technology sits beneath recommendation feeds, voice assistants, fraud-detection systems, medical imaging tools, and the generative AI utilities woven throughout present-day software.
What does an AI engineer do? Across a normal working day, an AI engineer performs data-feature preparation and engineering, undertakes training and assessment of ML/DL models, builds NLP or computer vision pipelines, integrates generative AI/LLM capabilities into applications, and ships models through APIs. This occupation sits at the crossroads of software engineering, statistical reasoning, and domain knowledge — which is why hiring teams scrutinise both coding capability and conceptual clarity through the recruitment process.
The three Uncodemy offerings have a few areas in common, but they are designed with different levels of depth and emphasis. The side-by-side view below explains these distinctions.
| 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.
Uncodemy's Artificial Intelligence course follows a 5–6 month live online format, comprising 110+ instructor-driven sessions and more than 183 hours of learning. Through its 13 modules, learners are introduced progressively to AI basics, Python programming, mathematics and statistics, data preprocessing, machine learning concepts, supervised and unsupervised learning, techniques for model evaluation, deep learning, neural networks, NLP, computer vision, generative AI and LLM fundamentals, AI applications and deployment, and finally a 25-hour capstone based on industry work. Practical tasks using relevant tools are included across the curriculum. For learners in Navi Mumbai, the training takes place through live online classes, while those who can travel may choose classroom sessions at Uncodemy's Delhi and Noida centres.
Who should join this course:
Eligibility: Applicants with a completed graduation degree, whether from a technical or non-technical stream, may enroll in the course. Coding familiarity is an added benefit, though it is not a prerequisite because Python starts in Module 2. A general foundation in mathematics and statistics is helpful, while the applicable concepts are developed further in Module 3. Practical classes require both a laptop and a reliable internet connection.
Opt for a batch timing that comfortably matches your availability. Live online training is offered with IST-based schedules. Begin by attending a free demo class, or take admission in the upcoming weekday or weekend live batches — suitable for both professionals and students, with adjustable timings and practical training.
| 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 | |
Students receive the Uncodemy Artificial Intelligence Program Certificate after completing each of the 13 modules, the required assignments and the AI Projects & Industry Capstone project. Information shown on the certificate includes the program name, learning duration, tools covered throughout the course and the completion date. It can be authenticated online at certificate.uncodemy.com and acts as a completion record for the Uncodemy Artificial Intelligence program.
The credential is associated with the practical assignments and projects completed during the training, including ML/DL/NLP/CV work, data preprocessing exercises and the 25-hour AI Projects & Industry Capstone project. Learners practice with 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)
_3.webp)
Python
NumPy
Pandas
Scikit-learn
Matplotlib
Seaborn
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
OpenAI APIs
Jupyter Notebook
Git/GitHub
FastAPI
Uncodemy Edutech Pvt. Ltd. runs Uncodemy as a career-focused IT education provider with over 14 years of training experience. The institute has classroom locations in Delhi and Noida and delivers live online training across India, so learners from Navi Mumbai can participate in instructor-guided programs covering current technology skills.
Artificial Intelligence learners are trained in machine learning, deep learning, NLP, computer vision and GenAI application development, with an additional 25-hour industry capstone for practical application. The course begins with data preparation and feature engineering before advancing into model development, evaluation, optimisation and API-based deployment.
The training experience combines live classes with hands-on exercises, project work, interview preparation and career guidance. The career support policy defines the nature, coverage and limitations of the support provided. Prospective learners can review the eligibility conditions before completing enrolment and making payment.
If a different technology path is preferred, Navi Mumbai learners can explore Uncodemy's LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI programs for Navi Mumbai 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
For this program, Uncodemy maintains a clear division between faculty-led teaching and independent curriculum assessment. Trainers handle the live classes, whereas domain reviewers separately verify the syllabus to ensure that its technical information remains accurate and relevant. Mr. Upendra Kumar Tiwari reviews the technical material of the Data Science program, providing an independent checkpoint alongside the teaching process.
Learners from Navi Mumbai are supported by the same faculty structure used across the Noida and online learning formats. Before making an enrolment decision, prospective students can request to observe a portion of a live class.
Uncodemy shares the names and professional details of trainers and reviewers, along with their expertise, allowing learners to assess the people involved with the course before beginning their training.
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.
Reserve your spot in Uncodemy's Artificial Intelligence programme tailored for Navi Mumbai participants today. Grow applied proficiency across Python, machine learning, deep learning, NLP, computer vision and generative AI via instructor-guided live online sessions, practical laboratories and a 25-hour industry capstone. Kick off your AI career path with methodical instruction and dedicated career preparation.
| 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 program follows a 5–6 month learning schedule and contains 183+ hours of instruction delivered through 110+ live sessions. Students can select either weekday or weekend batches.
Prior exposure to Python or Machine Learning is optional rather than required. Python starts in Module 2, with the essential maths and statistics foundation introduced in Module 3. Graduates from any discipline can enrol.
Training is provided on 15 tools and platforms, including Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
Yes. The curriculum allocates 15 hours in Module 8 to Deep Learning & Neural Networks, 12 hours in Module 9 to Natural Language Processing, and 12 hours in Module 10 to Computer Vision & Image AI.
AI Projects & Industry Capstone is Module 13 and covers 25 hours. Learners create an end-to-end AI solution that brings together ML/DL concepts, deployment skills and practical problem-solving.
More than 110 classes are live and instructor-led. Recordings are provided after the live sessions so students can return to the lessons for revision.
The course is priced at ₹24,500 before GST. After adding 18% GST, the total comes to ₹28,910. The stated price is applicable across cities and learning modes.
The EMI starting point is ₹4,818 each month for a 6-month period. The actual plan depends on the financing/payment method and eligibility, so a counsellor can confirm the precise amount and tenure.
A pre-enrolment demo is available. You can use the session to understand how the trainer teaches, see the curriculum and interact with the instructor before deciding to join. Contact us to reserve a demo.
Career assistance includes resume building, LinkedIn profile optimisation, portfolio review, interview preparation, mock interviews and sharing of opportunities through an 850+ company network. This assistance does not guarantee employment.
For entry-level AI Engineer roles, the indicative market range is around ₹4–8 LPA. Actual outcomes depend on a combination of skills, experience, employer and market conditions, and Uncodemy does not guarantee a particular salary or job.
Market indications list ₹4–8 LPA for Entry-Level AI Engineer, ₹6–12 LPA for Machine Learning Engineer, ₹8–16 LPA for AI/ML Engineer, ₹8–18 LPA for Deep Learning Engineer, ₹8–18 LPA for Generative AI Engineer, ₹7–16 LPA for Computer Vision Engineer, ₹15–28 LPA for Senior AI Engineer and ₹20–35 LPA for AI Solutions Architect. Actual offers vary by role, skills, experience, employer and market conditions, with no specific salary guaranteed by Uncodemy.
Career paths following the course may include AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, Junior NLP Engineer and Generative AI Engineer.
Graduates from any technical or non-technical discipline may be eligible, along with working professionals moving into AI/ML, aspiring AI engineers and career changers entering the artificial intelligence domain.
Figures on the page are drawn from Uncodemy internal records and publicly available review information. Outcomes are affected by learner skills, experience, location, employer and market conditions. Placement and career assistance should not be interpreted as a guarantee of employment or salary.
Navi Mumbai does not have a listed classroom centre for this program. Students from Navi Mumbai join the training online in live sessions. Physical centres are available in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) for learners who can travel.
No. The Uncodemy certificate is independently issued and does not carry affiliation or endorsement from OpenAI, Google, Meta or any other AI vendor whose technologies are taught in the program.
4.7/5 (500+)
5/5 (30+)
4.7/5 (500+)
5/5
4/5 (130+)
5/5 (54+)