This 5–6 month instructor-led Artificial Intelligence program equips Delhi learners with practical skills in Python, Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI and LLM fundamentals. Delivered fully live online, the course also offers classroom access at Uncodemy’s Delhi and Noida centres for those able to travel. Program fee is ₹24,500 + 18% GST (Total ₹28,910).
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5/5Career and placement assistance through our growing network of companies, recruiters and hiring organizations across India.
6 × ₹4,818 = ₹28,908 — matches the total fee.
Learners completing this program gain practical skills in machine learning, deep learning, NLP and computer vision, making them eligible for roles such as AI Engineer, Machine Learning Engineer and Deep Learning Engineer.
Placement records for Delhi learners are updated regularly — view verified outcomes at uncodemy.com/placement.
Placed at: Allsoft Solutions
Placed at: SmartStudy
Placed at: Allsoft Solutions
Placed at: SmartStudy
Artificial Intelligence focuses on building systems that can learn patterns from data, reason about information and make predictions or decisions. Its core disciplines include machine learning, deep learning, natural language processing and computer vision, enabling applications that range from recommendation engines to autonomous perception systems.
An AI engineer typically prepares and engineers data features, trains and evaluates ML and deep-learning models, constructs NLP or computer-vision pipelines, integrates generative AI or LLM capabilities, and deploys models through APIs for production use.
Here is how Uncodemy's Artificial Intelligence program sits next to its other specialisations.
| 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 | ₹5–9 LPA |
| Uncodemy program duration | 5–6 months | 5–6 months | 5–6 months |
This 5–6 month instructor-led program delivers 110+ live sessions and approximately 180+ hours of structured learning across 13 modules. Learners progress from AI foundations and Python through mathematics, data preprocessing, machine-learning fundamentals, supervised and unsupervised methods, model evaluation, deep learning, NLP, computer vision, Generative AI and LLM fundamentals, deployment practices and an industry capstone. The course is delivered live online to Delhi learners, with classroom options available at Uncodemy’s Delhi and Noida centres.
Graduates from any technical or non-technical discipline may apply. Programming fundamentals are helpful (Python is taught from Module 2). Comfort with basic mathematics and statistics is useful and is reinforced in Module 3. A laptop and stable internet connection are required.
8+ new batches start every month. Live online batches, IST timings.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 16 Oct | 07:30 PM – 08:30 PM | Mr. Irshad | 01 Seat |
| 22 Oct | 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02 Seat |
| 26 Oct | 10:30 AM – 11:30 AM | Mr. Irshad | 01 Seat |
| 28 Oct | 12:00 PM – 01:00 PM | Mr. Upendra Kumar Tiwari | 02 Seat |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Oct | 03:00 PM – 05:00 PM | Mr. Irshad | 02 Seat |
Illustrative example only — your exact weekday or weekend timetable (IST) is shared when you enrol.
The curriculum comprises 13 modules that take learners from foundational concepts through practical implementation. The sequence covers AI fundamentals, Python, mathematics and statistics, data preprocessing, machine-learning methods, deep learning, NLP, computer vision, Generative AI and LLM fundamentals, deployment and a substantial industry capstone. Indicative total learning volume is 183 hours.
| Module | Hours | Tools |
|---|---|---|
| 1. Artificial Intelligence Fundamentals | 10 | — |
| 2. Python for Artificial Intelligence | 15 | Python, NumPy, Pandas, Jupyter |
| 3. Mathematics & Statistics for AI | 12 | — |
| 4. Data Preprocessing & Feature Engineering | 12 | Pandas, Scikit-learn |
| 5. Machine Learning Fundamentals | 15 | Scikit-learn |
| 6. Supervised & Unsupervised Learning | 15 | Scikit-learn |
| 7. Model Evaluation & Optimization | 10 | Scikit-learn |
| 8. Deep Learning & Neural Networks | 15 | TensorFlow, Keras, PyTorch |
| 9. Natural Language Processing (NLP) | 12 | Hugging Face, Scikit-learn |
| 10. Computer Vision & Image AI | 12 | OpenCV, TensorFlow, PyTorch |
| 11. Generative AI & LLM Fundamentals | 15 | Hugging Face, OpenAI APIs |
| 12. AI Applications, APIs & Deployment | 15 | FastAPI, Git/GitHub |
| 13. AI Projects & Industry Capstone | 25 | Full stack of tools |
| Total | 180+ Hours | |
Each project comes straight from a curriculum module, ending with the industry capstone.
Curriculum & Technical Reviewer · AI Trainer
8+ years across AI, ML and analytics delivery. Reviews and signs off the curriculum on this page so content stays technically accurate and current.
The curriculum has been designed and technically reviewed by expert industry professional Mr. Irshad, with additional review by Mr. Upendra Kumar Tiwari.
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 credential is linked to the practical work completed during the course, including hands-on machine-learning, deep-learning, NLP and computer-vision projects as well as the AI Projects & Industry Capstone module.
Certificates are verifiable at certificate.uncodemy.com. This is an independent Uncodemy certificate and is not affiliated with OpenAI, Google, Meta or any other AI framework vendor whose tools are taught in the program.
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Uncodemy is a career-focused IT training institute operated by Uncodemy Edutech Pvt. Ltd. With 14+ years of training excellence, it maintains classroom centres in Delhi and Noida while delivering live online classes to learners across India, including Delhi.
In the Artificial Intelligence program, participants build machine-learning models, deep-learning projects, NLP and computer-vision pipelines, Generative AI-integrated applications and an industry-aligned capstone.
Instruction is delivered through live sessions, assignments, projects, interview preparation and career support. Career support policy and eligibility conditions are published before enrolment.
Other courses for Delhi learners: LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI programs.
Dedicated Career & Placement Assistance is provided; employment outcomes are not guaranteed and depend on individual performance, market conditions and employer requirements.
The people who actually teach this course
Live sessions are conducted by the institute’s trainer team. Uncodemy works with 30+ industry expert trainers who collectively bring more than 10 years of corporate training experience.*
Uncodemy separates the roles of trainers who deliver sessions and domain reviewers who verify curriculum accuracy. For this program, curriculum and technical content are reviewed by Mr. Irshad, with additional review by Mr. Upendra Kumar Tiwari.
Every trainer and reviewer is published by name with profile links where available.
*Figures represent institute-level averages and may vary by trainer, cohort and location.
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.
Secure your seat in the next live online batch and begin building practical AI skills under experienced instructors. Transparent fees, EMI options and dedicated career support are available. Contact the admissions team to confirm batch timings and complete enrolment.
A step-by-step view of the role-wise salary ranges on this page, from first AI role to architect.
Delhi’s technology ecosystem continues to generate demand for professionals who can design, train and deploy artificial-intelligence systems. The city hosts a mix of IT services firms, product companies, automotive and manufacturing technology units, and growing fintech and e-commerce operations.
Roles typically emphasise strong machine-learning fundamentals, the ability to implement and evaluate models, and a portfolio of practical projects rather than purely theoretical knowledge. Interview processes commonly include coding rounds, concept questions on supervised and unsupervised learning, and discussion of real-world project experience.
Candidates who can demonstrate end-to-end project ownership and familiarity with modern frameworks stand out in the local market.
Graduates of the program are prepared for a range of entry- and mid-level artificial-intelligence positions that require solid foundations in machine learning, deep learning and related disciplines.
| Role | Core Tools |
|---|---|
| AI Engineer | Python, Scikit-learn, TensorFlow |
| Machine Learning Engineer | Scikit-learn, Pandas, NumPy |
| Deep Learning Engineer | TensorFlow, Keras, PyTorch |
| Computer Vision Engineer | OpenCV, TensorFlow, PyTorch |
| NLP Engineer (Junior) | Hugging Face, Scikit-learn |
| Generative AI Engineer | Hugging Face, OpenAI APIs |
With two to four years of progressive experience and continued skill development, many professionals move into senior AI engineer or solutions-architect positions that involve system design, team leadership and architecture decisions.
Salary levels for artificial-intelligence roles in Delhi reflect broader market ranges and depend on skills, project experience and the hiring organisation. The figures below are indicative market ranges.
| 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.
Uncodemy’s hiring network of 850+ companies includes organisations across multiple sectors that regularly seek AI talent.
These sectors continue to expand AI adoption, creating ongoing opportunities for professionals with practical skills.
A structured path helps candidates move from foundational knowledge to job-ready capability.
Timeline: 5–6 months of consistent study following this sequence provides a solid foundation for entry-level AI roles.
This program offers a broad foundational curriculum rather than a narrow specialisation.
| Factor | This Program |
|---|---|
| Duration | 5–6 months |
| Learning hours | 180+ 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 provides wider coverage across machine learning, deep learning, NLP, computer vision and Generative AI fundamentals. The specialised programs focus more narrowly on large-language-model application development, retrieval-augmented systems or security aspects respectively. Learners seeking a comprehensive base often begin with this course before advancing into a specialisation.
Delhi learners join the Artificial Intelligence program fully live online and receive the same curriculum, trainers and batch structure used in Uncodemy’s classroom programs. Sessions are conducted in real time with opportunities for interaction, doubt resolution and collaborative work. Recordings are provided for revision.
For those who prefer or are able to attend in person, classroom training remains available at Uncodemy’s physical centres in Delhi (Laxmi Nagar / Shakarpur) and Noida (Sector 1). The live-online format removes commuting constraints while preserving instructional quality and peer engagement.
| If you want... | Recommend |
|---|---|
| Broad AI/ML career transition | This program |
| GenAI/LLM basics plus strong ML/DL foundations | This program |
| Narrow LLM application development only | Consider the LLM Engineering course |
| A narrow retrieval-system specialisation | Consider the RAG Engineering course |
The program runs for 5–6 months. It includes 110+ live sessions and structured project work designed to fit weekday or weekend schedules.
Prior experience is helpful but not mandatory. Python is taught from Module 2, and mathematics and statistics foundations are covered in Module 3.
The curriculum includes 15 tools and technologies: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
Yes. These topics are covered in Modules 8, 9 and 10 respectively, with hands-on exercises and projects.
The AI Projects & Industry Capstone is a 25-hour module in which learners plan, develop, evaluate and present an end-to-end industry-aligned project.
Classes are live (110+ live sessions). Recordings are made available for later revision.
The program fee is ₹24,500 + 18% GST, bringing the total to ₹28,910. The same fee applies across modes and cities.
Yes. EMI starts from ₹4,818 per month for 6 months.* EMI amount, tenure and eligibility may vary depending on the applicable payment or financing option.
Prospective learners can request information about upcoming demo or orientation sessions through the admissions team.
Uncodemy provides Dedicated Career & Placement Assistance through a network of 850+ companies. Employment outcomes are not guaranteed.
Entry-level AI Engineer roles typically fall in the ₹4–8 LPA indicative range. Actual outcomes depend on skills, projects, interviews and market conditions; no specific placement is guaranteed.
Indicative ranges appear in the salary table on this page. Actual offers vary by role, skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary.
Typical roles include AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer.
Graduates of any discipline, working professionals, aspiring AI engineers and career changers may enrol. Programming fundamentals and basic mathematics comfort are helpful.
No. Salary ranges are indicative market figures. Placement and review counts are based on available records and platform data and may change. Uncodemy does not guarantee employment or specific outcomes.
Yes. Uncodemy maintains a classroom centre at Laxmi Nagar / Shakarpur, Delhi, and another at Sector 1, Noida. Delhi learners primarily join live online batches; classroom attendance is available at these centres for those who can travel.
No. It is an independent Uncodemy certificate and is not a vendor credential from OpenAI, Google, Meta or any other framework provider.
The Artificial Intelligence course is delivered fully live online to Delhi learners. Those interested in visiting Uncodemy’s physical training centres can find them at the addresses below.
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