The global health challenge posed by the emergence of antibiotic resistance pathogen is further exacerbated in African countries by the indiscriminate use of antibiotics, poor surveillance and lack of stewardship programs. To address this issue, we employed the Oxford Nanopore Technologies (ONT) to sequence 17 clinical isolates from a referral hospital in Kenya. Our comprehensive bioinformatics approach facilitated the assembly, identification of sequence types and prediction of antimicrobial resistance genes, mobile genetic elements (plasmids and integrons) and virulence genes. Of the 17 isolates, five were A. baumannii, four E. coli, three S. haemolyticus, three were E. cloacae, while S. aureus and E. faecalis were single isolates. For the detection of AMR genes, A. baumannii isolates harbored genes such as blaOXA-23 which mediates resistance to carbapenems, E. coli and E. cloacae carried blaCTX-M-15 which confers resistance to cephalosporins and S. haemolyticus harbored blaZ, responsible for resistance against penicillins. S. aureus co-haboured mecA and blaZ genes. In addition,, various other different AMR genes to chloramphenicol, macrolides, aminoglycosides, tetracycline were also observed. For plasmid replicons, E. coli carried the most number of plasmids and shared ColRNAI_1 and IncFIB(pB171)_1_pB171 with A. baumannii and IncR_1 with E. cloacae. Many genes encoding various virulence factors including fimA-I and ompA,senB were identified in E. coli,hlgA-C and hla/hly, hlb, hld in S. aureus and efaA, ebpA-C in E. faecalis. In conclusion, most isolates contained a combination of different AMR genes harbored in plasmids and integrons and virulence genes. This study provides significant information on genetic determinants of antibiotic resistant pathogens in clinical isolates and could assist in developing strategies that improve patient treatment.