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Read More →Uncodemy delivers this Artificial Intelligence certification exclusively through live online sessions for candidates situated in Lucknow, over a five-to-six-month instructor-guided schedule. Curriculum content sweeps across Python, Machine Learning, Deep Learning, NLP, Computer Vision, together with Generative AI and LLM essentials. As Uncodemy runs no brick-and-mortar facility in Lucknow, the complete course unfolds online — learners favouring in-person classroom attendance may enrol at the Delhi or Noida campuses. Fees: ₹24,500 plus 18% GST, amounting to ₹28,910 in total. Monthly instalment arrangements commence 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
Any candidate who finishes Uncodemy's Data Science program develops a strong working knowledge of Python, SQL, Machine Learning, Statistics, Data Visualization (Power BI/Tableau), and Agile. When the training and career-preparation modules are completed, eligible learners can explore roles such as Data Analyst, Data Scientist and Business Intelligence Analyst.
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Placed at:Iris Software
Artificial Intelligence describes the engineering pursuit of fabricating systems that can perceive regularities within data, exercise reasoning over those regularities, and produce forecasts or determinations absent bespoke programming for each situation. Machine learning, deep learning, natural language processing, and computer vision form its foundational subdomains. AI-driven technologies underpin recommendation platforms, conversational assistants, fraud-identification mechanisms, diagnostic imaging instruments, and the generative AI applications interwoven throughout modern software.
What does an AI engineer do? Over the course of an ordinary working day, an AI engineer executes feature preparation and data engineering, conducts training and assessment of ML/DL models, assembles NLP or computer vision pipelines, embeds generative AI/LLM capabilities into applications, and dispatches models through APIs. This position sits at the intersection of software engineering, statistical science, and domain familiarity — which accounts for why hiring teams assess both programming aptitude and conceptual clarity throughout recruitment.
These three Uncodemy training options cover some similar areas, yet each has its own depth and central focus. A direct comparison is provided here to highlight how they differ.
| 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 offers a 5–6 month live online learning format supported by 110+ instructor-led sessions and 183+ learning hours. Its 13 modules provide a progressive journey from AI fundamentals through Python programming, mathematics and statistics, data preprocessing, machine learning principles, supervised and unsupervised learning techniques, model evaluation, deep learning, neural networks, NLP, computer vision, generative AI and LLM basics, AI applications and deployment, ending with a 25-hour industry capstone project. Practical assignments and real tools are incorporated during the modules. Learners from Lucknow can attend the program through live online delivery, while classroom participation is also possible at Uncodemy's Delhi and Noida centres for those who can travel.
Who should join this course:
Eligibility: A graduation qualification in a technical or non-technical discipline is sufficient for enrollment. Knowledge of coding may provide an advantage, but it is not essential since Python instruction starts in Module 2. Understanding basic mathematics and statistics is useful, with additional relevant concepts covered in Module 3. Students should have access to a laptop and a dependable internet service for practical sessions.
Select a convenient batch time based on your schedule. Join live online classes held in IST timings. Take a free demo class to understand the learning experience, or enrol in our upcoming weekday and weekend live batches — structured for students and working professionals with flexible timings and practical sessions.
| 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 all 13 modules, the prescribed assignments and the AI Projects & Industry Capstone project qualifies learners for the Uncodemy Artificial Intelligence Program Certificate. The certificate specifies the name of the program, its duration, the tools taught and the date on which the program was completed. Learners can verify it online through certificate.uncodemy.com as evidence of completing the Uncodemy Artificial Intelligence program.
The certification corresponds to the practical activities undertaken during the training, including ML/DL/NLP/CV-based projects, data preprocessing exercises and the 25-hour AI Projects & Industry Capstone project. The practical toolkit covers 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 institute for IT education, supported by more than 14 years of training experience. Its classroom centres are located in Delhi and Noida, while live online sessions extend across India, allowing learners in Lucknow to receive trainer-led education in modern technology areas.
The Artificial Intelligence program introduces learners to practical machine learning development, deep learning, NLP, computer vision and GenAI application building, together with a 25-hour industry capstone. Students follow the complete development journey, from preparing data and engineering features to training models, checking results, refining performance and deploying APIs.
Learning support includes instructor-led live sessions, practical work, project implementation, interview preparation and career guidance. The career support policy specifies the scope and limitations associated with this assistance. Before any enrolment payment is made, learners can review the eligibility conditions.
Learners in Lucknow who wish to select another area of specialisation can also look at Uncodemy's LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI programs available for Lucknow and Uttar Pradesh 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 separates live classroom delivery from the independent review of academic content. Trainers lead the actual sessions, while domain specialists review the syllabus separately to make sure the course remains accurate, relevant and technically updated. For the Data Science curriculum, Mr. Upendra Kumar Tiwari checks the technical content, creating a separate quality-assurance step in addition to classroom instruction.
Participants from Lucknow are taught by the same faculty that supports learners through the Noida and online formats. Learners who are evaluating the course can request to observe a segment of a live class before choosing to join.
Information regarding trainer and reviewer profiles is shared transparently by Uncodemy, including their professional experience and specialist areas, so prospective learners can examine the people connected with the program before admission.
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.
Book your place in Uncodemy's Artificial Intelligence programme created for Lucknow participants today. Cultivate applied proficiency spanning Python, machine learning, deep learning, NLP, computer vision and generative AI through instructor-guided live online sessions, practical laboratories and a 25-hour industry capstone. Commence your AI career path with methodical instruction and committed 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 |
Uncodemy
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The Artificial Intelligence course is planned over 5–6 months and provides 183+ hours of instruction through 110+ live learning sessions. Students can select weekday or weekend batches.
Previous experience with Python or ML is not a prerequisite. Python instruction starts in Module 2, while Module 3 develops foundational maths and statistics. The stated academic requirement is graduation in any discipline.
Fifteen tools form part of the curriculum, namely Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
The syllabus includes all three areas. Deep Learning & Neural Networks receives 15 hours in Module 8, Natural Language Processing gets 12 hours in Module 9, and Computer Vision & Image AI receives 12 hours in Module 10.
Module 13 is the 25-hour AI Projects & Industry Capstone. It requires learners to apply the course's ML/DL knowledge in an end-to-end project involving deployment and practical problem-solving.
Instruction is delivered through 110+ live, trainer-led sessions. Learners can use the recordings provided after class to revise the material later.
The advertised program fee is ₹24,500, to which 18% GST is added. The resulting total is ₹28,910, with the same fee stated for different cities and modes.
The starting EMI is ₹4,818 per month for a 6-month schedule. The final financing terms, including tenure, monthly amount and eligibility, depend on the relevant payment option and can be verified with a counsellor.
Yes, a demo is offered before enrolment. It gives prospective learners an opportunity to observe the training style, connect with the trainer and inspect the curriculum before joining. Contact us to arrange the session.
Dedicated Career & Placement Assistance covers resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing from an 850+ company network. Employment itself is not guaranteed.
Entry-level AI Engineer compensation is indicated at approximately ₹4–8 LPA in the market. Results can differ according to skills, experience, employer and market conditions, and Uncodemy makes no promise of a particular salary or job.
The indicative market bands are ₹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 compensation varies with role, capability, experience, employer and market conditions, and Uncodemy does not guarantee a salary.
Potential job titles include AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, Junior NLP Engineer and Generative AI Engineer.
The program accepts graduates from technical and non-technical backgrounds, working professionals seeking AI/ML career transitions, aspiring AI engineers and career changers entering the artificial intelligence field.
The statistics are compiled from Uncodemy's internal records and information published on review platforms. Outcomes vary according to the learner, including skills, experience and location, as well as employer and market conditions. Placement assistance does not guarantee employment or a particular compensation package.
Lucknow learners join the Artificial Intelligence program through live online classes because there is no classroom centre listed in Lucknow. Uncodemy's classroom locations are Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) for learners able to travel.
The Artificial Intelligence certificate is an independent Uncodemy certificate. It is not an OpenAI, Google or Meta affiliation or endorsement and is not a credential issued by those vendors or other AI companies whose tools are included in the training.
4.7/5 (500+)
5/5 (30+)
4.7/5 (500+)
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